Catalyzing Connected Car Proliferation

ehicle connecti vity is expanding at a rapid rate. In fact, according to Gartner, by 2020, there will be V Remote a quarter billion connected vehicles on Monitoring & Safety Soluti ons the road, enabling new in-vehicle services Control Soluti on Awareness and automated driving capabiliti es. Driving Phase Currently, automoti ve connecti vity focusses on driver comfort, safety, enduring car automati on and provides Accident free boundless business opportuniti es Sensing Driving Autonomous at various stages of connected car Phase Driving Phase implementati on. Implementati on of this V2X Cloud may surface various challenges, which need several catalyzing agents to enhance IN-V the connected car proliferati on. Autonomous Driver Comfort & The three basic connected spaces – In- Features Experience vehicle connecti vity, V2X connecti vity Synchronized, and cloud connecti vity – are being driven Cooperati ve Cooperati ve Driving Phase by several factors during connected car Driving Phase implementati on phases. While some of these factors would create new challenges, others would enable novel technological soluti ons to ensure the Innovati ve smooth movement of the connected Business world from one phase to the other. Soluti ons Advancements in technological areas related to safety systems, display, Connecti ve Connected Car Connected Car and telemati cs combined with the Space Segments Implementati on Soluti ons developments in V2X and telecom would Phases result in newer soluti ons for safety and driver comfort. Technological progression Implementa on phases in connec ve spaces for connected car solu ons can transform the existi ng limitati ons into opportuniti es and would require infrastructure & technological catalyzing data derived from various automoti ve strong catalysts to bridge the gaps and soluti ons. subsystems. The lack of adequate produce eff ecti ve integrated soluti ons for Most of the vehicle safety and other primary level data & data consolidati on connected cars soluti ons. connecti ve business soluti ons are methods which limited the possibiliti es of Driver experience and comfort have achieved by close integrati on of connected soluti ons have been addressed primarily driven the need for status/ automoti ve subsystems (such as ADAS, in the ‘Sensing Driving Phase’ by warning data from various automoti ve V2X and Telemati cs) and there is a providing consolidated data from sensors subsystems, but the increased emphasis slow shift in the kind of integrati on and ECUs which might increase the on vehicle safety has pushed the demand from interdependent to cooperati ve overall cost of embedded infrastructure. for bett er connecti vity, enhanced data subsystems of connected car. This trend The soluti on lies in opti mizing the cost of security, advanced safety technologies is pushing the automoti ve world from the embedded infrastructure (sensors, and integrated soluti ons. standalone enti ti es to cooperati ve and connecti ng elements) and proper Most of the vehicle safety and other well synchronized enti ti es, which requires integrati on of vehicle electronics, which connecti ve business soluti ons are meti culously architected embedded is one of the key catalyzing agent. Some achieved by close integrati on of infrastructure & technological catalyzing surveys indicate that the cost of in-vehicle automoti ve subsystems (such as ADAS, soluti ons. electronics may increase by around 10% V2X and Telemati cs) and there is a To understand this further, let us analyze every two years, in order to meet the slow shift in the kind of integrati on the connected car acti viti es and the projected requirements of connected car. from interdependent to cooperati ve challenges cropping up at each phase, The ability to integrate vehicle electronics subsystems of connected car. This trend along with the possible catalyzing at the system and module level may is pushing the automoti ve world from soluti ons. help achieve cost opti mizati on and may standalone enti ti es to cooperati ve and provide clarity on the progressive cost The basic need of connecti vity lies in per feature. This needs be addressed well synchronized enti ti es, which requires effi ciently analyzing and representi ng the meti culously architected embedded by considering product/feature quality

PG.38 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net levels, which may grow from each phase the deployment of platf orm independent of connected car. soft ware architecture with fl exibility, Network service performance with 4G is modularity and scalability. A strong a big catalyzer and can help to add more soft ware architecture, with AUTOSAR relevant data to Telemati cs. Advanced would address these problems. Over-The-Air data transfer methods along Sensor data collected from various with stringent data security measures sources may need to go through would be indispensable for the future of advanced fusion techniques for the connected cars. accurate compilati on of safety data. This Making consolidated vehicle data data is criti cal for system level integrati on available at backend would enhance and address challenges posed byfeatures data analyti cs, providing business such as adapti ve cruise control, lane keep opportuniti es for OEMs, fl eet/asset assist etc. These features will be more management and other services, thereby signifi cant in the connected car context, increasing the demand for improvised when addressed with highly accurate connected infrastructure and bett er positi on & localizati on data. connecti vity among the subsystems While the ADAS roadmap has been providing raw data for data analyti cs. predicted up to the year 2019-20, the Some surveys believe that a well- ‘Cooperati ve Connected Car systems’ architected backend soluti on with highly roadmap plans are roughly being detailed reliable connecti vity can supplement around the year 2019-21. 5G will also Chandrasekhar Konakalla some functi ons of automoti ve embedded be introduced in the market during this Global Head – Connected Car subsystems. period. With most of the work related Tata Elxsi Ensuring the availability of relevant to connected car targeted around the data from various sensors, ADAS, V2X same ti me, few of the challenges may and others for processing various be addressed but the industry may safety applicati ons would increase the face several other challenges related During this ti me phase, overall cost of demand for ECUs with higher processing to the technical stability of connected the connected soluti ons, specifi cally that capabiliti es and matured communicati on features/services, high cost of technology embedded infrastructure in the vehicle methodologies resolve the challenges & products and most importantly the may touch new heights. It is important of connected car applicati ons, thereby synchronizati on of these enti ti es. Quality that these challenges are eff ecti vely paving the way for the ‘Cooperati ve gaps at the systems level integrati on, addressed, since this phase is vital and Driving Phase’. insuffi cient value engineering acti viti es, may witness complex scenarios, which reliability & robustness of the vehicle can slow down the progress of connected Though a cost center, it would also serve data and accuracy of predicti ve & fusion car soluti ons. as an opportunity for the opti mizati on soluti ons may be some of the core In short, embedded capability and integrati on of best-in-class vehicle reasons for these challenges. electronics. It would also pave the way for enhancements along with cost opti mizati on, system level Integrati on, positi on accuracy and data fusion techniques are the key catalysts to move Accident free the connected car journey to next level. Autonomous Driving These enhancements would create Synchronized, Cooperati ve a perfect ecosystem for the various Driving vehicle subsystems to interact and share their perspecti ves with each other. The Cooperati ve Driving phase (Synchronized and Cooperati ve Coopperati ve & Driving phase) where all the automoti ve synchronized systems subsystems would cooperate and Sensing Establishment of Driving synchronize with each other would create V2X 5G infrastructure High ECU more meaningful scenarios for connected Predicti ve processing systems using capabiliti es, low cars. Extended data fusion data latency 5G Network The consolidated data from the Awareness (V2X, ADAS, Stress on safety Wider range of Driving Sensors, ACC, various cooperati ve systems would Steering) on backend soluti ons vehicle networks Cooperati ve be subjected to superior predicti ve Advanced data connecti vity transfer methods algorithms and trajectories, thereby Data fusion addressing connected car features Data analyti cs Data security such as intersecti on assistance, VRU, cooperati ve adapti ve cruise control etc. Journey of connected car from the sensing phase to the coopera ve & synchronized phase The implementati on of these features

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.39 Sept - Oct 2016 | ` 100

RNI No: UPENG/2015/63476 ISSN 2454-8561 Automoti ve Telemati cs Connected Vehicles Fleet Management Infotainment ADAS

Will our ecosystem help us exploit benefi ts of smart automo ve?

www.telemati cs.net/mag PG.2 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.3 Contents Sept-Oct 2016 SMART AUTOMOTIVE

Ecosystem Editor & Director Maneesh Prasad 06 Navigati ng through The Telemati cs Ecosystem Quagmire Director 08 Transforming Ecosystem of Telemati cs Lt. Col. M C Verma (Retd.) 10 Automoti ve Telemati cs Ecosystem: An open system approach Dy. Director Anuj Sinha 12 Automoti ve Telemati cs Ecosystem Asst. Business Editor 13 Improving Safety Outcomes and Enhancing Customer Experiences through Shaivi Tyagi reliable Automoti ve Telemati cs Corporate Sales Executi ve 14 Automoti ve Telemati cs in India: Evolving an Organic Ecosystem Abhinav Mishra 16 ECU Convergence: How it will change the shape of the automoti ve Rewanshi Singh telemati cs and infotainment ecosystem Content Support 18 Connected Vehicles and the Internet of Things that Really Matt er Rudravir Singh Asst. Web Developer 22 OEM connected car soluti ons: questi ons of creati on and moneti zati on Amit Kumar

25 In Vehicle Connected Customer Experience that matt ers! Designer Vikas Singh 34 Collaborati on is a Key Strategy for Automoti ve Telemati cs Ecosystem For Adverti sement Contact Anuj Sinha Tech Horizon +91 - 87440 88838 / +91 - 83758 69800 anuj.sinha@telemati cswire.net 26 Predicti ng Starti ng System Anomaly Publicati on Address 30 Big Engineering Data: Value-adding Capital of the Future Aeyzed Media Services Pvt. Ltd. D-98 2nd Floor, Noida Sec-63 Insight Utt ar Pradesh-201301 Email: [email protected]

28 Telemati cs – How SmartPublicTransport Systems in-the-making can Printed and Published by benefi t from it Maneesh Prasad on behalf of Aeyzed Media Services Pvt. Ltd. Usage Based Insurance – New Dawn in Indian Insurance Sector 35 Aeyzed Media Services Pvt. Ltd. D-98, 2nd Floor, Noida Sec-63 36 Solving India’s Address Enigma Utt ar Pradesh-201301 Email: [email protected] 38 Catalyzing Connected Car Proliferati on Printed at 44 Bits & Bytes M/s Vinayak Print Media, D-320, Sector-10, Noida, Gautam Buddha (UP)-201301 and publicati on at A3/107, Block 12, Kailash Dham, News Sector-50, Noida, Gautam Buddha (UP)-201301 Please Note: No material may be reproduced in whole or 40 News part without permission of Aeyzed Media Services Pvt. Ltd. Copyright 2016, Aeyzed Media Pvt. Ltd. All rights reserved 42 News Aeyzed Media Services Pvt. Ltd. and Smart Automo ve does not necessarily subscribe to the views and ar cles in 44 Mergers & Alliances this magazine. RNI No. UPENG/2015/63476 46 Internati onal & India Updates

PG.4 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net n next few years we will start getti ng data on the usage of struggling with their request autonomous taxi which has started running in limited and to create 3D maps, but we I controlled manners in citi es like - Singapore. Automoti ve are yet to come with specifi c majors would start rolling out autonomous cars in next 3-4 years, instructi on whether we are conforming to SAE level 4, which would mark the beginning of a going to allow creati on of new era in automoti ve. such 3D maps for public use. Is it an opportunity for India? Industry players like Google, Yes, it is if we look at some of the benefi ts we have been reading MapmyIndia and others are and talking which will come with autonomous vehicle: waiti ng for further clarity before they invest in 3D maps. 1. Reduce accidents 2. Increase mobility & reduce cost of mobility. Why do we need policy for autonomous vehicles? 3. Logisti cs and transport to see the lowering of cost in long Although it has been oft en argued by the industry that new run technology segment should not have regulatory framework 4. Decreased insurance cost or it may lead to insurance in new kicking-in from the beginning, but here its not about regulati ng avatar it, but more about removing impediments, which may prevent 5. Free urban space uncalled for hassle during test runof 6. Modular mobility may encourage more people to opt for an autonomous vehicle. public transport Can driver assistance and acti ve safety system be a stepping However, the bigger questi on is if we are prepared to go stone? for autonomous vehicle? In terms of status of our roads & The recent bill, Motor Vehicle(Amendment) Bill 2016, which has highways; ‘eco-system on roads’ in urban areas, which springs been approved by the cabinet and introduced in the Lok Sabha, up with the city waking up; turf negoti ati on on clogged crossings addresses many issues including those which concerns road safety. or U-turns etc., we are diff erent. Technically, I feel its a distant From ‘passive safety’ point, it will add ‘sti ng’ in the form of steeper story, but government can seed the process where technical fi nes, to deter voluntary violators. insti tuti ons and research centres can be encouraged to work But the big questi on is- Can increased fi ne help reduce the on autonomous vehicle. Govt. funding should be provided to accidents and loss of lives? test such vehicle in our environment and results/outcome be No. Passive safety has its limitati on. One needs to look into acti ve discussed and shared as common learning. safety measure which are already giving results in high income Although it may not be easy to suggest a city or state which countries. will be suitable for test run of autonomous vehicles, which has Semi-autonomous vehicles or those with assisted driving so far had test run in North America or Europe or other high technologies can help reduce the vehicle accidents by substanti al income economies, but we can have urban pockets or localiti es percentage. This would mean saving of precious lives and also which can be used for testi ng. Remote and sparsely populated capital cost saving for the nati on. Savings of lives, which mostly regions may also be considered for pilot projects. are in the producti ve age. Road accidents accounts for the highest Are there any impediments for autonomous vehicle in India? loss of lives amongst the people aged 15–29 years (Source: World There are many hurdles which needs to be cleared before the Health Organizati on, Global Health Esti mates, 2014); more than vehicles run on road on their own. Sensors- LiDAR and opti cal loss of lives due to HIV/AIDS, Diarrhoea, heart disease etc. in this has to be permitt ed for use on vehicle which is also fi tt ed age group. Middle and low income countries have just 54% of with positi oning system. Because going by the recent draft enti re vehicular populati on, but account for 90% of road accident Geospati al informati on and Regulatory Bill(issued by Ministry death. (Global Status Report on Road Safety 2015). If we look at of Home Aff airs), such act may be prohibited. Even if they are our own fi gure, accidents kills 400 people everyday leading to 3% allowed, the data collected would need clearance from Ministry of GDP loss, compared to 1.5% in other middle income countries. of Defense. As any data which has geographical locati on along High income countries have been able to reduce on an average with photographic image or LiDAR profi le will be considered a of 54% accidents between 2000-2013, making a serious case for geospati al data, requiring it to be cleared by the ‘data vetti ng eff ort needed in ‘acti ve safety’ space. Its ti me we move beyond committ ee’ in MoD before it can be used. The regulatory mandatory seat-belts or opti onal airbags to acti ve safety features. agencies may come up with specifi c guidelines for autonomous Till the ti me we are able to bring down the loss of lives on roads, vehicles, which can be permitt ed for government agencies and someone will be morally held accountable for it. research centres. Vehicles need to be aware of the environment through comprehensive and updated 3D maps. But in our context, companies like Here(earlier Nokia) and other have been

@telematicswire Maneesh Prasad

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.5 Navigating through The Telematics Ecosystem Quagmire t has been exactly a year since my last one-year subscripti on charges. It off ered the fact that M&M is holding the enti re interview on the Connected Vehicles introductory features with locati on responsibility of the soluti on through I in “Smart Automoti ve” in Sept’2015 tracking and to some level integrati on a factory fi tt ed telemati cs hardware where I had spoken about the challenges with service related features, more in the (instead of a dongle or aft ermarket towards the mass adopti on of the realm of convenience based features. hardware) and orchestrati ng the enti re connected vehicles soluti ons and also On Aug 26th 2016, Mahindra& Mahindra ecosystem by including various partners my personal view on the subject that it is launched its homegrown Connected (Bosch, TechMahindra, Vodafone, etc.to just a matt er of ti me that the connected Vehicles Platf orm “DiGiSENSE” becoming name a few) and providing tailor made vehicles will become a mainstream in the fi rst OEM to leverage one integrated soluti ons to suit the various customer India. I had menti oned that though there technology platf orm for connected segments/needs (Fleet Owner, Driver, are many aft ermarket soluti on providers, vehicles across a wide range of mobility Dealer, Service Technician, etc.). it will take strategic call from the OEMs to products, tractors and businesseswhich This brings to the fore an important make telemati cs an integral off ering in the is multi -applicati on and multi -product point – as to what to consider as vehicles (especially commercial vehicles) enabled. DiGiSENSE will initi ally be the ecosystem in this domain. In my where it would not only benefi t the available in the Jeeto and Imperio in view, a comprehensive telemati cs customer for bringing in more effi ciency the small commercial vehicles space; soluti onis impacted by the following but will also help the OEMs in a big way the Arjun Novo in the tractor space; the keyconsiderati ons which I term as through the insights (Data Analyti cs) that Mahindra Blazo in the heavy commercial the ABCs of the connected vehicles can be available to bett er the service vehicles space; and the Earthmaster in ecosystem: off erings & product designs and also the constructi on equipment space and that we (Mahindra) are shortly going to A. Affi liate Ecosystem will eventually be available across the B. Business Ecosystem introduce our own Connected Vehicles enti re line-up of Mahindra’s vehicles. soluti on in the market. C. Customer Ecosystem Exclusive v/s Inclusive I would restrict my views in this arti cle A. Affi liate Ecosystem Unlike manyconnected vehicles soluti ons The telemati cs soluti onshave moved mainly from the lens of an OEM/ in the industry that are positi oned as consolidated player.In the last one away from just being a black and white an exclusive off ering in the passenger transacti onal off ering to a more colorful year we have seen a couple of market cars space or closed telemati cs systems, launches from the OEMsin India (Honda & interplay of the enti re spectrum of Mahindra has taken the strategy to make technology affi liates/stakeholders. It is no Mahindra) and some works are in pipeline it a more inclusivesoluti on. By inclusive I from other OEMs. more in the capability of a single soluti on mean keeping in view the bott om of the provider to be able to build it in enti rety. Honda introduced their Connected pyramid where such a soluti on will make It has become imperati ve that it needs an Vehicles soluti on for their passenger the maximum impact and including it in orchestrati on of the complete ecosystem cars in Dec-2015 and created a lot of the breadth of its mobility portf olio (CVs, for a successful soluti on. initi al buzz by pitti ng it as an exclusive Off -road vehicles & Tractors), M&M has off ering. Honda off ered an OBD based chosen to provide value to businesses fi rst One of the most criti cal player in the dongle and a mobile-app based soluti on by addressing the direct customer needs affi liate ecosystem is the Telecom at a discounted price for the initi al few impacti ng their businesses and bringing service provider, who not only has the customers with a trial for one-month post in the relevant features to address the responsibility to provide highly reliable which the customer was expected to pay need gap. The inclusivity also stems from connecti vity under all conditi ons

OEM Suppliers Satellite Mobile Telecom www/ VAS Technology Consumers • In-vehicle • Electronic Navigati on Devices Services Cloud • Content Enablers • Individual Devices • Devices • Locati on • Phone Provider • Services Players • Applicati ons • Enterprise • Infotainment • Hardware • Tablets • M2M • Media • Insurance • OEM Portals • Fleet • Telemati cs • Soft ware • Apps • Connecti vity • Personal • Adverti sers • User Portals • Clusters Data • 3rd Parti es

The Complete Value Chain

PG.6 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net & geographies, but also provide a has to make sure that the data servers comprehensive M2M platf orm (to reside in the country of origin in order to monitor the SIM and data usage & other avoid any regulatory/compliances issues. functi ons) that empowers the soluti on The availability of 3rd party affi liates is provider to off er most opti mal soluti on growing by the day – with many more to the end customer. Compared to earlier enti ti es and startups coming up with days, this is now fast changing in India very innovati ve ideas and value added with Vodafone leading the pack with a services. The challenge is to provide an home grown M2M platf orm and others open platf orm where these services can catching up through partnerships with be easily plugged-in and convert them established global players. into sustainable value propositi ons & The other key players in the ecosystem business models. are the Technology enablers who have a variety of choices available on hand to The suppliers of the telemati cs hardware provide the end-user applicati ons (web/ soluti on have now matured are able to mobile, etc.). There are umpteen choices provide very robust hardware systems available today in terms of the applicati on that the OEMs can rely upon and in technologies and at ti mes it is diffi cult certain cases also provide grounds-up to make a decision as to which one to development from scratch to meet the pick. The rate of obsolescence is so high OEM’s requirements within acceptable that by the ti me a soluti on is stabilized, ti me-to-market. Sirish Batchu the technology/version would have got The issues of maintaining interoperability Head of Infotronics Technology and upgraded and the applicati ons break (IOP) and compati biliti es with various Advance Electronics Automoti ve & down in backward compati bility. To add mobile devices is always a challenge with Farm Sectors to the complexity, this is also marred with the growing number of mobile device the challenges of compati bility issues manufacturers and variety of models Mahindra & Mahindra Ltd. between various technologies (Java, around. However, with the usage of the He is responsible for the development & explora on of .NET, ASP, etc.) at diff erent interfaces. standardized hardware confi gurati ons, relevant technologies in advance of vehicle programs. The need of the hour is to choose an this is slowly moving away from the He has been responsible for the crea on of M&M’s Connected Vehicles Pla orm- DiGiSENSE approach where the feature functi ons limelight. implementati on and technologies are B. Business Ecosystem acti vated to be able to provide a ti mely loosely coupled so that they are not only When a telemati cs soluti on comes as response & resoluti on. able to withstand the changes but also be an off ering from an OEM stable, then it The key lies in creati ng a compelling value able to provide seamless upgrades to the is not enough to sit ti ght on the feature propositi on for the customers to use customers without major impact on the off erings without integrati ng with the the features on a sustainable basis. The existi ng applicati ons/business logic and business processes. For example, in case Connected Vehicle platf orms can provide avoid extra costs. of a breakdown alert arising from the exponenti al value through integrati onof system, the customer value propositi on is The Cloud forms another important the enti re business ecosystem namely not fulfi lled unti l the enti re service chain piece of the puzzle and thankfully there the Service management systems, Dealer is not able to respond within a few hours are several cloud and IoT platf orms management, Spares management and with the right fi x for the breakdown at at disposal that off er a very good the Call centres, Customer databases, the locati on. The enti re chain had to be performance and scalability. One just Sales databases, etc. that can pipe into one single CRM window for the OEM. The OEMs can bring in tremendous value by seamlessly integrati ng all the business processes/systems, not only to the end customers but to the various enti ti es within the organizati ons by being able to provide lots of insights about their vehicles and customers. Starti ng from Product Planning, Marketi ng teams to R&D teams and Service and Spares teams, everyone can benefi t from the insights that the Telemati cs systems can provide. Very oft en the OEM teams get bogged down by the costs and investments required for scaling this up and understandably so since the Indian market & customers are very cost sensiti ve. However, the real potenti al of

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.7 a comprehensive telemati cs platf orm can to provide a platf orm that is be harnessed only through aseamless highly adaptable& fl exible and Transforming business ecosystem and this needs to be which gives full control to the backed by a value oriented thinking rather customer in terms of defi ning than cost oriented thinking. and monitoring their specifi c magine yourself a couple of years in the business needs. future….you are driving yourself home, only C. Customer Ecosystem you are not really driving, but you are steering The third and most criti cal aspect is the The success of the telemati cs I business lies in being able a car that is automati c, and is mostly driving itself. Customer Ecosystem. Though the core The gear shift is automati c, the speed is set to a elements of a telemati cs soluti ons remain to positi vely impact the bott om-line sensiti vity of the pre-determined level, and all you really need to do the same across, but the applicati on and is steer gently. the context in which customers uti lize customers and their impacti ng these vastly diff er. There are a variety touchpoints. As you get close to your apartment complex, the of applicati ons where the telemati cs The customer should feel the car sends out an automati c alert to the security soluti ons can be applied, be it fl eet empowered and be able to staff to allow you to enter, while your smart phone management of inter-city load carriers, control the way their business alerted by your GPS locati on automati cally gets intra-city distributi on, security vans, gets enabled through a the air-conditi oning switched on. At this point e-commerce vendors, food-supplies, soluti on which can be fully in ti me, it may seem a bit like a scene from Star logisti cs, school-buses, public/private confi gurable. Wars, but in actual fact, the technology is in place, transportati on, personal convenience, etc. At M&M we have considered and the expectati ons from automobiles, is far Each context has a unique requirement in most of the above elements more driven by electronics than mechanics. This terms of business needs and performance while soluti oningtheDiGiSENSE is turn obviously has a huge impact on the eco parameters. The customers in these platf orm. The initi al features system that drives the industry. A clear parallel is business look for the specifi c enablement available are just beginning the IT industry, where Microsoft and other such of their needs and this is the reason why of the journey that have been major PC manufacturers are scrambling to fi nd a you see so many scatt ered soluti ons carefully selected keeping the place in a market that is evolving at a supersonic and players in the aft ermarket. For a various customer needs in pace. Physical storage space is no longer of any consolidated player to be able to meet mind. consequence, as storage has shift ed to the cloud, this need, it is imperati ve that they have and both business and shopping are now done by smart phones. Like the Dinosaur, those that do not evolve, perish. NEWS Automobile companies are slowly awakening to DiGiSense: Mahindra & Mahindra’s technology the fact that the manner in which cars are being made is changing rapidly from the mechanical to platform the digital. Where they are in for a rude awakening is the fact that the way cars are being bought is also changing rapidly. Car showrooms as they exist CCU today, would largely become distributi on points CCU MOBILE NETWORK MAHINDRA MOBILE NERWORK ADDED PROVIDER SERVER PROVIDER SERVICES where people pick up vehicles that have been researched, bought and paid for vide the internet. It would make a lot of sense for car distributi on BUSINESS CUSTOMERS companies to move their heads out of the sand, recognise this fact, and begin developing superior websites and internet platf orms and payment gateways, rather than fancy showrooms. To respond eff ecti vely to a changing market, and stay ahead, traditi onal auto makers and sellers will need many digital capabiliti es. These Mahindra & Mahindra’s DiGiSense connects M&M vehicles, tractors, trucks will include digital sales and marketi ng, multi - and constructi on equipment to the cloud. The integrated technology channel customer engagement, and the ability soluti on will empower Mahindra customers to digitally build knowledge to package and deliver digital products and 24x7 about the performance and locati on of their mobility products and services. In the operati ons sphere, they’ll need tractors. data and content management skills, along With DiGiSense, drivers can contact emergency breakdown services or with the ability to manage digital infrastructure, pull up a route planner at the touch of a butt on and fl eet owners and protect customer identi ti es, secure informati on dealers can track the locati on of their vehicles in real ti me. The remote systems, and manage service-oriented technology, diagnosti cs and reports allow service teams to monitor the vehicle’s health while overseeing a digital operati ng model and and producti vity parameters on a real ti me basis. The soluti on will initi ally numerous outside partnerships. To hold their own be available in the Jeeto and Imperio in the small commercial vehicles in the Internet of Things, auto makers will need space; the Arjun Novo in the tractor space; the Mahindra Blazo in the to manage sensors and connected devices, create heavy commercial vehicles space; and the Earthmaster in the constructi on mobile-to-mobile services, and analyse reams of equipment space. data generated by autonomous vehicles.

PG.8 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net Ecosystem of Telematics

The most important change will be features to the right customers in a way cultural. The automoti ve industry that integrates you into this new world culture has always been supply-driven — with aff ordable prices. They might look companies push products into markets to share the R&D burden with other and try to persuade people to buy companies through smart cooperati ves. them. The focus is on shaping buying Other ways might include launching behaviour to fall in line with what the their own digital ventures, to unlock data companies produce. On the other hand, value. OEMs will have to fi nd ways to Digital companies cultures, respond to remove bureaucrati c blocks so they can customer demand - their major spend is unleash creati vity and practi ce frugality on advanced technology and analyti cs at the same ti me. The ulti mate goal will to meet rising expectati ons. Marketi ng have to be to shape and support mobility spend is extremely low. ecosystems and design cars for the shared-vehicle drivers of today and the Markus Pfeff erer The other major change stems from the Managing Director - Asia Pacifi c fact that currently auto companies have driverless passengers of tomorrow. analog cultures. They have a slower In the future, consumers will want the Ducker Worldwide Ducker Worldwide, is a consul ng and research fi rm. decision making process and multi ple fl exibility to choose the best soluti on It is headquartered in Troy, Michigan, with offi ces layers of hierarchical management. They for a specifi c purpose, on demand and around the world including Bangalore, Berlin, London, are ruled by systems and processes, via their smartphones. Therefore the Paris and Shanghai. Founded by William H. Ducker in which in large measure have not changed importance of private-car ownership will 1961 Ducker celebrates over 55 years in business. much since the incepti on of the industry. be declining. This is already obvious in the To graduate to being more progressive, USA where the share of young people (16 consumers demand — will fl ourish in the auto companies would have to adopt a to 24 years) who hold a driver’s license digital era. more digital culture, with fl at hierarchies has dropped from 76 percent in 2000 With this paradigm shift to mobility that speed up decision making. The to 71 percent in 2013, while there has as a service, along with new entrants, focus would have to shift to result over been over 30 percent annual growth in traditi onal car manufacturers will be process, and workers would need to be car-sharing users in North America and ulti mately forced to compete on multi ple empowered to innovate, knock down Germany over the last fi ve years. fronts. Mobility providers (Uber, for barriers, and achieve goals. The ideal At the same ti me, the objecti ve is not example), tech giants (such as Apple, worker would have vision, curiosity, necessarily to be the company with the Google), and specialty OEMs (Tesla, for fl exibility, and moti vati on. Collaborati on most cutti ng-edge connected car. Those instance) increase the complexity of an would become criti cal, with mixed teams that are fi rst to bring this technology already competi ti ve landscape. Traditi onal from various functi onal specialti es to the market will need to balance automoti ve players that are under working together on projects. This refl ects their own R&D with cooperati on- and conti nuous pressure to reduce costs, the dynamic tech industry, where change platf orm-based innovati on to avoid the improve fuel effi ciency, reduce emissions, is rapid and unpredictable, innovati on “winner’s curse” of ulti mately losing out and become more capital-effi cient essenti al to survival, and quick acti on to competi tors that improve upon the will feel the squeeze, likely leading to criti cal to victory. technology. Apple has rarely been the fi rst shift ing market positi ons in the evolving Obviously the key to staying ahead of to innovate, but has a record of success automoti ve and mobility industries,; the pack would be to meet customer in scaling up technology that others have potenti ally leading to consolidati on demand in a way that is both unique originated. Being best rather than fi rst is or new forms of partnerships among and technologically advanced. Once even more important when the product is incumbent players. the technology has been perfected, the an automobile which carries people and Therefore it’s not surprising that the OEM would need to build the capabiliti es puts their lives at stake. recent confl ict between VW and one of to create this type of vehicle at global In a way the connected car is the leading its suppliers which led to a producti on scale, even if it means selling under edge of disrupti ve technology as it is stop at VW might been more than just other brands (so long as you control the changing not only the automobile, but poor management.It could also be seen arrangement), try a variety of digital the nature of the automoti ve industry as a sign of how relati onships between ventures that can unlock data value: as whole. As connecti vity paves the way traditi onal suppliers and OEMs might and most importantly, move from a for autonomous driving, digital content change and how disrupti ve new supply transacti on-based business model, selling and services have become the industry’s chain management processes can be. cars, to a service-led setup in which primary source of growth. More In fact in the future it is extremely likely lifeti me customer acquisiti on becomes fundamentally, OEMs oriented to their that suppliers from the telecom and IT the primary goal. traditi onal role as product manufacturers industries will ulti mately change the For volume auto makers, it would also must embrace a new identi ty as service way business is done in the automoti ve be necessary to fi nd a viable economic providers. Those that can make this shift industry. equati on: a way to off er the right digital — while providing the security assurances

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.9 Automotive Telematics Ecosystem: An open system approach With cars becoming more aff ordable of a nati onal highway can be analyzed and limited road infrastructure, the to suggest the best locati on to open a urban transportati on landscape is restaurant on the highway. Depending becoming more congested. Polluti on on the nature of traffi c (commercial, and associated social issues are passenger), the nature and type of taking a center stage. In this changing restaurant can be diff erent. environment, it is becoming important Similarly, select private data (only the that the data collected by the connected arrival/departure info and mileage) system is not only used to improve from a logisti cs provider can be shared operati onal effi ciencies, provide on ti me with dealer service agency. The service deliveries and safety services, but evolve agency can monitor the arrivals of new services and business models. vehicles at hub locati ons and the mileage It is also becoming clear that a single clocked by a vehicle. This will reduce operator or service provider will not service costs and vehicle downti me be able to understand the needs of the for the logisti cs company. The same complete ecosystem, let alone build all private data (trip informati on + goods Ranjit Abhyankar the required applicati ons. manifest) can be used to opti mize the Senior Technical Manager Today, most of the telemati cs players transportati on cost. Delphi, India Technical center have a closed system. This puts the onus The need of the hour is an open system He is Senior Technical Manager with Delphi India Technical Center. He works as technical consultant of understanding and developing the which allows various stakeholders in area related to driver assistance and infotainment applicati ons on the telemati cs service to interact and uti lize the data in a solu ons. provider (TSP) and/or customers. This meaningful way, while maintaining is not a viable opti on as many TSPs and security and privacy; and at the same n the next few years, with customers may not understand all the ti me providing fl exibility to each of the advancement of connected systems requirements of a business. stakeholder to innovate and diff erenti ate (embedded units, mobile based I The open framework approach will services. and V2X), it will become increasingly important to develop open systems to enable a host of third party applicati on Open Platf orm approach harness the full potenti al of connecti vity. developers to develop diverse applicati on Figure 1 depicts a framework for an open Open system architecture will defi ne the which may not necessarily fall in the architecture. The proposed architecture interface layer specifi cati ons enabling domain of the end customer or telemati cs comprises a 3 Tier system of components. multi ple ecosystem partners to interact service provider. For example, The interfaces at each layer are defi ned seamlessly. anonymous data from a parti cular secti on and standardized. 1. Tier 1: Data Collecti on Agent (DCA). The interface to the communicati on Tier-3 gateway can be an open standard. Customer applicati on server Third party However, the data can be encrypted applicati ons and secured for privacy. This will Telemati cs applicati on server allow multi ple on-board-units (OBU) suppliers to talk to a parti cular server Anonymous data Private data in a seamless fashion. The data collecti on agents may source Data manager Tier-2 data from: Device database manager Device provisioning → OBU: For instance, a small Data Collecti on Agent fl eet operator who has installed aft ermarket OBU can directly talk to the communicati on gateway and an Secondary data collecti on agent + OEM can have its own private server Device provisioning Tier-1 to talk to the OBU. → Secondary data collecti on agent: An OBU OBU OEM can have its own private data collecti on agent to talk to the OEM Fig. 1: Automoti ve Telemati cs Ecosystem: Three Tier Open Architecture installed OBUs. The data collected

PG.10 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net from the OBUs can be fi ltered (any Infrastructure (PKI) scheme. platf orms can operate with multi ple vehicle specifi c private data) by the 3. Tier 3: Applicati on Layer: Private and diff erent types of OBUs. However, the secondary data collecti on agent. public data is processed to generate real benefi t will come when the Tier-2/ The fi ltered data can be forwarded various reports and other intelligence. Tier-3 layer is made open. to the main telemati cs server. This The data can be combined with other The key challenges in implementi ng hierarchical approach allows for easy customer data to generate various an open system is primarily the data segregati on and protecti on. customer specifi c value added services apprehension of customers about data 2. Tier 2: Data Storage and (e.g., stores can track the arrival of a security and commercial interests (who Management Layer. parti cular part by integrati ng manifest should make more money?applicati on Data coming from various sources with vehicle locati on). providers or data aggregator). is archived in a uniform format in a Similarly anonymous data can be uti lized With the development of ever present central database. The archived data is by various third party applicati on data connecti vity (4G and beyond), and segregated into: developers to serve niche markets. penetrati on of connecti vity components → Private data: Private data can be Commercial models: The open in a vehicle,It is becoming increasingly accessed by specifi c customers who frameworks allow for easy adapti on of important to design open systems have access rights. The data should various commercial models. The data can without compromising security and be further secured to address certain be shared by customers based on various privacy. An open system will allow sensiti ve applicati ons (like data from commercial models. In a simplisti c multi ple players to interact seamlessly cash handling vehicles). model, a customer has the opti on of not widening and improving the ecosystem. → Anonymous Data: Data from various sharing his data (private data) and pay for Connected vehicles will become a reality OBUs should be appropriately all the services; or alternati vely, he/she very soon (with launch of V2X and smart mapped to generate anonymous data. can share the data anonymously and get city projects). The connecti vity will The anonymous data can be used for a discount. drive a host of applicati ons and services various third party applicati ons. There are few open telemati cs and will change the way the enti re The format of data stored on anonymous frameworks available, but most of them mobility ecosystem works. There will as well as private databases can be an operate at Tier-1/Tier-2 interface layer. be entry of new players and some of the open format. The private data can be For example, a number of telemati cs existi ng players will have to change their secured using any standard Public Key business and business models.

NEWS

Delphi to begin testing robot taxis in Singapore Delphi will begin testi ng autonomous autos in Singapore this year that may lead to robot taxis by the end of the decade.The project has been introduced in partnership with the Singapore Land Transit Authority, where the company begin testi ng vehicles in order to make them commercially viable in near future. The test rides will include six autonomous autos, starti ng with the modifi ed Audi Q5. Delphi’s vice president of engineering Glen DeVos said in a statement ‘that a cab ride in a dense urban area can cost $3 to 4 a mile.’ The company is trying its best to eliminate drivers from its vehicles and will develop soft ware that lets commuters call them. Initi ally, the cars will travel at slow speeds along predetermined loops of about 3.5 miles (5.6 kilometres), with a human driver ready to take the wheel if needed .

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.11 Automotive Telematics Ecosystem

passenger’s music taste to provide a System can’t be successful. It is important jukebox radio soluti on is creati ng new to decide what type of data is necessary market!Hence creati ng a product line of for what applicati on. Subscripti on based devices with varying hardware capabiliti es model could help in achieving this. provides end applicati ons (vehicles) select Subscripti ons can be defi ned based on the the Telemati cs soluti on based on the type of applicati on the vehicle could be market they intend to serve. put to, yet it should be scalable to defi ne Getti ng the data back new subscripti on as the system evolves to Collecti ng and storing the data, is the cater diff erent market segments. It should main part of the puzzle. Transferring be noted that, design of on-board systems the huge data collecti on from the should take care of the subscripti on machines to data centres can be done strategy, including scalability to make the through cellular, satellite network for the fi nal integrati on smooth. automoti ve world. Offl oading the data at Archiving the data for long term usage Wi-Fi hotspots could also be a soluti on for is the next piece of the big puzzle. It fl eet applicati ons like Taxi services. Data involves selecti on of proper cloud service Bhuvan Anandakrishnan transfer cost, overall load on the network with storage soluti ons and accessibility to Director of Electronics Department and the gateway needs to be considered develop diff erent front soluti on and / or Caterpillar India while designing the system. Data mulling integrati on to custom ERP soluti on. Bhuvan has degree in Electronic Engineering from using vehicle to vehicle communicati on Putti ng it to use… Madras University and a Master’s in Business could be an eff ecti ve soluti on in terms of Administra on from Great Lakes Ins tute of cost and load on the system.Another idea Once the puzzle of getti ng the data and Management. He joined Caterpillar Inc. in 2002, and storing it is solved, next tough job is haserved in various leadership posi ons. could be creati ng an off -board tool that can download the data from the vehicles presenti ng the data and features to the locally over wired or wireless (Wi-Fi or customers, based on the applicati on. Customers do not look for all the elemati cs has grown in the last Bluetooth) mode, which can later be technical details, but only the key points several years resulti ng in touching uploaded to back offi ce. Key to this would that could help them in their business almost every industry that we be a proper design of the localized tool; T or usability. For example, a Taxi service know of. A technology of this magnitude customer should see the benefi t in using operator will look where are his/her goes through rapid evoluti on and the tool and also in uploading the data equipment, their health and a way to thereby resulti ng in rapid changes to to OEM’s data centres. For example, disable them on theft . He doesn’t need its ecosystem. Putti ng together such an uploading the vehicle data to customer the Lati tude, Longitude values butonly ecosystem for the automoti ve industry should be through a cloud back-up needs to visualize the equipment on map. that is evolving at a similar pace can be service, in order for them to access across For an independent owner of the vehicle, seen as solving puzzle with no defi ned their multi ple mobile devices at the cost front end soluti on could be a web service output. of one subscripti on. providing all the informati on about his On-Board Electronics / her vehicle, like maintenance history, With electronics making its presence in service recommendati ons, and upgrade every part of the automobile industry, At the vehicle level, opti on for next car. Mobile applicati on the amount of data available from a “ based soluti on would be best suited for vehicle is enormous. Handling such huge clear diff eren a on passenger automobiles, especially for dataset requires some robust electronics; requesti ng support during emergency.

a box that could talk all languages with between the data Integrati on to service replacements, parts other controls on the vehicleand have sales and other aft ermarket products/

good storage space is essenti al. CAN, network and control soluti ons would improve the business Ethernet, Bluetooth andWi-Fi could all for OEM and also improve the user be supported, yet it is important to keep network could“ experience for customers. the hardware modular enough to suit the Front end soluti on are not limited to diff erent applicati ons or market segments protect the vehicle. customers only. OEMs can create a data the vehicle would serve, by keeping visualizati on service for their marketi ng the cost under control. For example, team to easily decipher the vehicle’s supporti ng satellite communicati on usability; create marketi ng strategy on passenger vehicle is baseless;but Oft en, we are greedy to collect all the and bett er sales pitch for the next car supporti ng Bluetooth to talk to On- data, but without proper strategy and or upgrade for the user. Combining it board infotainment system to collect design on how to use the data both for with analyti cs, engineering team could OEM & Customers’ benefi t, Telemati cs

PG.12 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net improve their product design and add or remove features. Improving safety outcomes Security, at every level… With Internet of Things model being fi rst choice for most telemati cs systems, and enhancing customer protecti ng the data, vehicle and customers from threats should also be experiences through reliable part of system design. Be it access to on-board electronics or data servers at the backend, there should be protecti on Automotive Telematics at every level. At the vehicle level, clear diff erenti ati on between the data network and control network could protect the vehicle. Encrypti on, signatures on the he Indian auto industry is one of data from the vehicle is needed to protect the largest and most competi ti ve the customer, from their data (locati on, T industry in the world. A $74 usage preference) being misused. billion industry in 2015, the Indian Access control at server level is essenti al automoti ve sector accounted for 7.1 per to protect both customer and OEM. cent of the country’s Gross Domesti c For example, in order to make bett er Product (GDP). By 2026, it is expected products and to plan marketi ng strategy, to achieve a turnover of $300 billion- competi tors look for OEM’s datasets clocking a CAGR of ~ 15 percent (Society and customers’ user preference to make of Indian Automoti ve Manufacturers). bett er products. Driven by the consumer’s digital lifestyle and enabled by the interconnectedness Validati ng it all together… of everything; the Indian automoti ve A well designed, developed Telemati cs sector is also getti ng disrupted rapidly. System could sti ll fail at deployment if not Automoti ve telemati cs, in simple properly validated aft er integrati on of all pieces. Also, every piece of the system terms, is the integrated use of should be tested for their maximum telecommunicati ons and informati cs capacity. Scalability tests using virtual applied in the vehicles, providing Tushir Malik machines could be one of the many required informati on while the vehicle soluti on to test the capacity. Such tests is on the move. With the advent Vice President – Sales and Business provide insight on what the customer of Internet of Things (IoT) enabled Development would experience from the front end “connected car”, the vehicle turns Aeris India into a hub for an enti re ecosystem soluti ons. If the data reaches the system He has 22+ years in experience in Solu on Architect, but does not load up on the webpage in of connected services that off ers Delivery, Business Development and hardcore sales ti me, it is sti ll a failure; failure in design consumers a wealth of benefi ts. working with Global 500 Telecom & BFSI Orgs across And this in turn has led to a creati ve the globe. In his current func on he is working with of data fl ow and usability. If the system the Government and regulatory bodies to increase integrates with OEM’s other soluti ons disrupti on between consumers and the M2M reach and usage in India & APAC. like service booking, the integrati on and automakers, consumers and vehicles and among the traditi onal and non- usability of those soluti ons from front end usage based insurance, vehicle fi rmware should also be validated. traditi onal parti cipants in automoti ve ecosystem. upgrades, vehicle diagnosis for predicti ve Finally, while designing a product we maintenance and infotainment etc. We always look at requirements and failure As a result, the in-vehicle telemati cs has are also seeing a lot of tracti on by the modes to get the best system in place, now matured from being a luxurious government in the area of intelligent but I strongly encourage incorporati ng opti on in the past to a bare minimum transport systems in India with initi ati ves a long term vision also as a design customer expectati on today. The taken towards digiti zati on of vehicular aspect. Think beyond current capacity of scope of telemati cs has surpassed informati on to improve driver and technology, and develop a system that safety and security requirements as passenger safety. All these developments could last a decade; an achievement by the automakers are now focusing on are driving the telemati cs market upwards itself in today’s world! meeti ng the consumer expectati ons in India which is predicted to scale $113.7 by enabling telemati cs around hands- million by 2018 (6Wresearch). free calling, geo-fencing, turn-by- turn navigati on, mileage reporti ng, The state-of-the-art telemati cs accident recording, fuel economy, tracking systems are helping manage

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.13 the government and corporates. Cargo tracking soluti ons have become customer service engines. Driver monitoring Automotive T soluti ons have improved driver retenti on and training programs. Geo-locati on of commercial vehicles, teenage vehicle geo Evolving an fencing and public safety has improved emergency response ti mes. rom the dawn of human civilisati on, However, the above benefi ts can only be mankind’s predominant pursuit realized once an advanced and secure has been for connecti vity. While technology infrastructure to support F the dream for physical connecti vity Automoti ve Telemati cs is in place. That dominated for thousands of years, the is, ubiquitous connecti vity with wide area electromagneti sm (EM) based connect coverage and faster streaming capabiliti es is a much more recent pursuit. Today such the one provided by LTE/5G is we have extensively connected systems, Shweta Berry essenti al. It also needs systems which can generically called the Internet. In the seamlessly manage a constant fl ow of last decade or so, with the second Director of Marketi ng data extracted from multi ple sensors in Communicati ons and CSR wave of internet, we have ubiquitous the vehicle, send this data for processing mobile devices now, greatly harnessing Program Manager through a Cloud platf orm, and then to on the potenti al of EM or wireless Aeris India the back-offi ce for real-ti me analysis communicati on. This perennial quest Shweta holds Masters in Interna onal Business and relay of meaningful informati on to for connecti vity has brought us to a cer fi ca on from Grenoble Ecole de Management, the end user. Aeris, being a pioneer in juncture where we are ready to step up France. She is a Silver Medalist in the fi eld of Marke ng, machine to machine technology has a MBA from IILM, New Delhi. She has over sixteen years to integrate and connect our vehicles to of experience working with mul ple MNC’s, mid- er and fl exible Telemati cs Services Platf orm with the Internet. We have “smart cars”, that start-ups in India in various industry ver cals including a modular architecture which allows communicate and collaborate with other Tech Mahindra, NIIT Ltd., MagnaQuest Technologies to for rapid and cost eff ecti ve scaling. The name a few. smart objects on the Internet. Vehicular distributed processing architecture Telemati cs is about this and much more. availability, access, and use of vehicles delivers speed and responsiveness for delivering the best customer experience. Telemati cs is infact a watershed for the for the large fl eet operators in verti cals developments that have taken place in such as logisti cs, distributi on, mining, Aeris can work with any cloud-based soluti on provider and ensure a fully various disciplines and fi elds over the constructi on, and transportati on. This last few decades. Cloud Computi ng and is also benefi ti ng the emerging vehicle integrated and scalable service delivery platf orm that includes, Server Virtualizati on, Machine Learning rental model market players such as and Arti fi cial Intelligence, Big Data the Uber, Ola and others with the data → Complete account creati on and Analysis, Navigati on Satellite Technology analysis which can dramati cally help management services form criti cal subsystems in the telemati cs increase business effi ciency as the system → Readily integrates and connects with ecosystem. With the paradigms of uses telemati cs to capture data from vehicle Connected Cars, the Advanced Driver moving vehicles and enable remote → Smartphone applicati on delivery Assistance Systems (ADAS), and Self operati onal control such as acti vati ng and Driving vehicles, we are seeing emerging → Easily integrates with OEM accessing vehicles using Radio-frequency metasystems or “system of systems” in CRM, marketi ng, portals, and identi fi cati on (RFID) or a smartphone to the fi eld of telemati cs. track and record journey data for ensuring communicati ons systems In the larger space of Internet of Things, passenger and goods safety and also → Comprehensive customer care tools proper billing. Telemati cs also enables Automoti ve or Vehicular Telemati cs leads In conclusion, we see both Indian anti -theft features, tracking the locati on the race. This is because the features that consumers as well as the automoti ve of the vehicle and an automated interface Telemati cs brings to the table, Safety, giants leveraging the advanced with law enforcement agencies reduces Security and Producti vity, have found technology and adopti ng automoti ve the response ti me which eventually leads their applicati ons best in this domain. The telemati cs soluti ons at a faster pace to reducti on in vehicular theft numbers. general public concerns like driver safety for reaping social benefi ts towards and road accidents have strongly fuelled As connected vehicle management road safety and also improvements the adopti on of telemati cs soluti ons by soluti ons become more prevalent, both in economic effi ciency. The scale and automakers. And thus a sharp contrast the automakers and large fl eet owners success will be largely defi ned by the between the adopti on in automoti ve vis- are fi nding ways to enhance their services technology in this fi eld. Hence, it is a-vis other sectors. to customers and generate new revenue imperati ve for the automakers to partner Telemati cs in general is marked by the streams outside the original scope of with experienced IoT soluti on providers presence of several key stakeholders. their businesses. For example, certain and invest carefully in the right fi t This is not surprising owing to the fact soluti ons designed for delivery route automoti ve telemati cs platf orm. opti mizati on have proven themselves as that Telemati cs has emerged as a highly outstanding compliance engines for both intersectoral technology. Some of the

PG.14 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net Telematics in India: n Organic Ecosystem

natural stakeholders in this space, a criti cal part in evolving an organic specifi cally pertaining to automoti ve, are: ecosystem for telemati cs in India. The 1. Telecom Sector central and state governments in India 2. Navigati on Satellite Systems should promote and regulate the sector. 3. Automakers Currently, the Center for Development 4. OEMs and ODMs of Telemati cs functi ons as a wing in the Telecom Technology Center in the → Automoti ve Component Suppliers Government of India. Both empowerment → Independent Telemati cs Unit and independence is needed for this body Suppliers on the lines of TRAI (Telecom Regulatory Vadiraj Katti 5. Auto-repair Service Provider Authority of India). The scope of its Founder & Managing Director 6. Firmware Companies functi ons should expand to promoti on, iTriangle Infotech Pvt. Ltd. 7. Cloud Service/IT Infrastructure regulati on, and development of the He is involved in design, development and Providers telemati cs sector. Though the telemati cs manufacturing of products related to vehicle tracking, 8. Web Mapping/GIS Service providers sector is enabled by telecom, it has to automo ve telema cs and enterprise solu ons. He has developed a GPS-GSM-RFID based Remote Data 9. Automoti ve Soft ware Providers fi nd its progress independently. Acquisi on Pla orm with end to end solu ons in both 10. Big Data Players GSM Network plays the most criti cal role hardware and so ware. 11. Content and Infotainment Providers in connecti ng the Telemati cs Units with 12. Insurance Cloud. Even with a mobile subscriber taken by its automobiles at the end of the 13. Governments base of 240 million, the GSM network day even if there were a poor or no GSM While the many criti cal subsystems of the is oft en patchy in India. The coverage network. All it needs to do is to capture telemati cs space bring great advantage gap exceeds 50% in most North East and the real ti me locati ons and store it to it, the challenge remains in evolving Central Indian States. And even where onboard and transmit it only when it fi nds cohesion between these players. This is there is mobile network, poor signal and a signal. The fi rmware players in India easier said than done. In this arti cle, we packet drops are a commonplace. This now have these well tested soluti ons. will explore ways in which this synergy be prevents governments to seamlessly But most telemati cs soluti ons would achieved in the Indian context. adopt telemati cs soluti ons as general need real ti me processing of this data. An policies. And businesses with operati ons infotainment soluti on to access reviews The adopti on and integrati on of on nearby hotels on your way back home telemati cs soluti ons have att ained certain in these areas too fi nd diffi culty in adopti ng telemati cs soluti ons. This also from offi ce requires V2I (Vehicle-to- maturity in the West. We see a number Infrastructure) soluti ons delivered almost of B2B & B2C applicati ons in this domain discourages the automakers to adopt pre-assembly telemati cs integrati ons in immediately. In additi on to contributi ng and a general adopti on and acceptance to the expansion of mobile coverage, the by all the players involved including the the Indian releases. It is unlikely that an automaker would risk to lose the rural Indian telecom companies have another end customer. For instance, Usage Based role to play. The nascent and mostly Insurance has become mainstream in market in pursuit of a value additi on for the urban market. Needless to say, urban telemati cs industry needs cost the West. In India, however, the concept eff ecti ve M2M (Machine-to-Machine) of telemati cs is sti ll at a nascent stage. strong mobile coverage is a great enabler for successful telemati cs soluti ons in Data Soluti ons. With the largest cab It is mostly confi ned to Track-and-Trace aggregators in India adopti ng telemati cs and the applicati ons are sold B2B. There India. With Digital India and Broadband Highways programs, we can expect soluti ons, this makes business sense to all is no signifi cant tracti on yet on the B2C stakeholders. front. For the Indian customer, telemati cs signifi cant improvement in the telecom soluti ons rank much lower in the wish infrastructure in the coming years. The India is no excepti on to another universal list of what they wish to see in their Universal Service Obligati on Fund (USOF) problem in telemati cs - the lack of automobiles. However, recent surveys currently sources telecom infrastructure standardisati on in protocols. This greatly show a positi ve senti ment among the in parts of the country where private hinders interoperability. For all the Indian customers in the adopti on of players do not fi nd operati ons profi table. stakeholders to work in synergy towards a telemati cs soluti ons. In a 2014 consumer Acti ve contributi ons are needed by both common objecti ve, this is a prerequisite. survey conducted by Deloitt e, over 48 private and public players to bridge the The NGTP or the Next Generati on % were willing to pay for telemati cs coverage gaps. Telemati cs Protocol, claimed to be a soluti ons in their vehicle [1]. The poor or no mobile networks aff ects technology neutral approach, needs to most telemati cs soluti ons but not all. A sti ll fi nd its ground among the huge base The key stakeholders have both the of stakeholders involved. advantage and responsibility to play logisti cs company can replay the route

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.15 ECU Convergence: How it will change the shape of the automotive telematics and infotainment ecosystem

Tradi onally, the automo ve industry has introduced an Electronic Control Unit (ECU) for each major new func on. This means that separate func ons such as the head-up display, infotainment system, instrument cluster or driver assistance require a dis nct processor each. As a consequence, most modern cars will contain at least 30 to 50 ECUs, leading to increased complexity and ineffi ciencies. The automo ve telema cs and infotainment ecosystem is beginning to change, with vehicle manufacturers searching for cost reduc ons and enhanced performance. At the same me, chipset developments are improving the feasibility of running mul ple func ons from the same ECU.

Speed of cross-carline adopti on depends on level of fragmentati on within infotainment line-up: Heavily fragmented

Toyota BMW Mercedes

Nissan VW Chevrolet Ford # of vehicle models # of vehicle Hyundai Kia Audi

Infi niti Dodge Lexus Acura Porsche Buick Jepp Lincoln Subaru Volvo Land Rover GMC Honda Jaguar Chrysler Scion Mitsubishi Fiat Tesla Mazda Cadillac Smart RAM Mini

SBD Head Unit Tracker - USA 2016 # of infotainment platf orm variants

PG.16 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net What to consolidate and why? There are various stages of ECU consolidati on anti cipated, with the most immediate impact expected to be felt within the instrument cluster, heads-up displayand infotainment systems. Currently, these functi ons are generally designed by diff erent teams within a vehicle manufacturer and sourced to diff erent suppliers. However, keeping these functi ons separate while maintaining a seamless user experience is becoming increasingly diffi cult to manage. Instead, various vehicle manufacturers are now converging those teams into one, and sourcing a single advanced ECU that can support multi ple functi ons. Andrew Hart Abhishek Visveswaran The reasons for considering the Director of Innovati on and Global Director consolidati on of multi ple ECUs into one Customer Relati ons SBD India are varied for diff erent car manufacturers, SBD with cost, consistency and complexity Andrew is one of the automo ve industry’s leading advocates of Abhi graduated with a Master’s Degree in the UK specialising in a more consumer centred approach to innova on. A well-known Telema cs and has since worked in the Connected Car industry on being the primary ones. With the growing voice in the world of automo ve technology, he is a passionate a wide range of projects for vehicle manufacturers and suppliers. number of displays, it is becoming believer in the role market research can (and should) play in He has set up SBD India, where his team is building an online helping the industry develop future best-selling products. automo ve research and analy cs pla orm. increasingly hard to create a holisti c user experience with disparate ECUs sourced transiti on to ECU consolidati on. In turn, from multi ple suppliers. In additi on to the In doing so, OEMs are being promised this will drasti cally change the ti er-1 consistency diffi culti es posed by multi ple a more holisti c and consistent user supplier landscape. ECUs, minimising latency issues becomes experience, and a reducti on in the total parti cularly important when multi ple cost of ownership by $100- $200 from Which suppliers are well positi oned to displays show safety-criti cal informati on the removal of redundant hardware and deliver in this changing ecosystem? (e.g. for ADAS). simplifi cati on of the vehicle architecture. The transiti on to ECU consolidati on will Although OEMs currently benefi t make it harder for suppliers with only commercially from multi -supplier parti al soluti ons to compete eff ecti vely, sourcing, the consolidati on of ECUs across allowing larger players like Bosch and fi rst cars leveraging multi ple functi ons will likely reduce the Denso that develop both instrument operati onal complexity of dealing with clusters and infotainment platf orms to a converged ECU several suppliers. scoop up more business. Others will need to partner up or make strategic architecture that Despite all of the potenti al benefi ts, acquisiti ons to remain competi ti ve in challenges remain. Changing the culture the longer term (which parti ally explains supports mul ple internally and re-organising teams from why the largest supplier of instrument multi ple verti cal strands to one horizontal clusters, Visteon, purchased Johnson displays are expected strand within OEMs is diffi cult logisti cally Control’s infotainment business). (and politi cally). Convergence of ECUs, coupled with a to arrive on the Furthermore, according to SBD’s Headunit simplifi cati on of headunit line-ups will Tracker, some OEMs have as many as 25 lead to a greater number of ‘winner- market by 2020 variants of headunits across all of their takes-all’ contracts for Tier-1s, compared With OEMs planning to support a larger models. Consequently, the legacy of to before when suppliers could hope to at range of content across multi ple displays, existi ng headunits and the architecture in least get a part of the business for at least closer coordinati on will be required. which the consolidated functi ons will sit is some of the OEM’s platf orms. Monitoring drivers and managing also a diffi cult task to manage. The fi rst cars leveraging a converged distracti ons can pose additi onal safety There are also various technical ECU architecture that supports multi ple diffi culti es if the content on the multi ple challenges associated with running both displays are expected to arrive on the displays is not centrally managed. safety-criti cal and non-safety criti cal market by 2020, giving suppliers a limited functi ons from the same ECU, requiring How is the ecosystem adapti ng? ti me to adapt to this new reality. Grand heavy virtualisati on at both a hardware Suppliers have been quick to adapt, with ambiti ons of moving from a decentralised and soft ware level. Visteon, Bosch and Harman recently 50-ECU strategy to a single centralised demonstrati ng the benefi ts of running Gradually, more and more OEMs will ‘super brain’ may sti ll be far off , but that multi ple displays from the same ECU. overcome the challenges and make the journey is already starti ng today.

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.17 Connected Vehicles and the Internet of Things that Really Matter

he Internet of Things (IoT) has aware of their own status, but are also also true, in that by taking appropriate come to automoti ve. Having aware of the status of other vehicles, measures with regard to reliable, T started with infotainment it has the environment, weather and road low-latency communicati ons and evolved to fusing sensor, positi oning, conditi ons, traffi c and myriad other incorporati ng proven design techniques cellular and short-range communicati ons parameters that might aff ect driver safety and reliable components or modules, within exciti ng new V2X architectures that and travel effi ciency. automoti ve cogniti on can pave the way will enhance the driving experience and This automoti ve cogniti on, where sensing, to the Holy Grail of safe, reliable, truly safety and accelerate the development of communicati on and decisions take place autonomous vehicles. Along the way, autonomous vehicles. at a machine-to-machine level, takes it will enhance driver safety through At a basic level V2X, vehicles can automoti ve transportati on way beyond more ti ghtly integrated advanced driving communicate criti cal informati on entertainment and classic IoT, into the assistance systems (ADAS) for collision between vehicles, infrastructure to avoid realm of the “Internet of Things That avoidance while also enhancing the accidents at intersecti ons or send locati on Really Matt er,” as one slip up along the bott om line of commercial tasks such as informati on for increasingly mandatory path from a single criti cal sensing or fl eet management. emergency call (eCall) services. positi oning element, to remote analysis, Infotainment is just a starti ng point to fi nal response, could spell disaster for However, the excitement is around From a purely technological point of view, the driver, and potenti ally for the OEM. V2X’s potenti al to usher in a new era of the additi on of Internet connecti vity to cogniti ve automobiles that are not only The corollary of this is move to V2X is automoti ve for infotainment purposes

Connected-Car Shipments Forecast (Global) Global Cars Shipped Shipped With Connecti vity

Five-Year (2015-2020) 92 CADR 45% 88 84 81 78 72 75 69 69

47 Millions 32 22 15 10 7 7

2013E 2014E 2015E 2016E 2017E 2018E 2019E 2020E BI INTELLIGENCE Source: Sco abank, BI Intelligence Es mates Figure 1. By 2020, 75% of the es mated 92 million cars shipped globally will be built with Internet connec on hardware, cons tu ng a CAGR of 45%. h p://www.businessinsider.com/connected-car-forecasts-top-manufacturers-leading-car-makers-2015-3#

PG.18 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net Category 2013 2014 2015 2020 Automoti ve 96.0 189.6 372.3 3,511.1 Consumer 1,842.1 2,244.5 2,874.9 13,172.5 Generic 395.2 479.4 623.9 5,158.6 Business Verti cal 698.7 836.5 1,009.4 3,164.4 Business Grand Total 3,032.0 3,750.0 4,880.6 25,006.6

Figure 2. The number of installed IoT devices will top 25 billion by 2020, with automo ve showing the largest increase of 96% in 2015. (Source: Gartner) h p://www.gartner.com/newsroom/id/2905717 is a natural and evoluti onary reacti on road globally in 2020, only 88 million of to the movement of mobile devices these will have their services acti vated from the home to the car. Automoti ve by their owners. That said, BI expects manufacturers recognize that consumers embedded connecti ons to gain favor as would like to more ti ghtly integrate not only do they circumvent use of the their home, mobile and automoti ve consumer’s data plans, but they also Thomas Nigg entertainment experience. allow manufacturers to get informati on According to recent fi gures from on a car’s performance and send over- Senior Director Product Strategy Scoti abank/BI Intelligence, by 2020, 75% the-air updates to reduce the need for Product Center Positi oning of the esti mated 92 million cars that will recalls, a criti cal feature for systems u-blox be shipped will have Internet connecti vity that are becoming exponenti ally more He has served 15 years at u-blox. He has led team of specialists in the areas of embedded satellite hardware, consti tuti ng a CAGR of 45% complex as the applicati ons of IoT for posi oning receivers and cellular modems used for (Figure 1.) vehicles – private, public or corporate automo ve, industrial and consumer applica ons. Applicati ons range from streaming music fl eets – increase. and video, searching the Web, and In 2014, Gartner released a study in which receiving alerts of traffi c and weather it calculated the total number of installed of features IoT enables. These include conditi ons. It puts the average selling IoT devices will reach 25 billion by 2020 emergency services, remote vehicle price of a connected vehicle into the (Figure 2.) Of those, the automoti ve diagnosti cs, vehicle tracking and recovery, luxury range of $55,000, though prices sector showed the highest growth rate of safe driver and no-texti ng services and will fall precipitously. 96% in 2015. teen driver management. It also points For its part, Gartner predicts that by The applicati ons for IoT in automoti ve, out that insurance carriers can use 2020, more than 250 million vehicles will and transportati on as a whole are many. vehicle telemati cs data to analyze driving be connected globally – with consumer ThingWorx, which specializes in providing patt erns, encourage safe driving practi ces spend on in-vehicle connecti vity doubling. easy-to-use and secure IoT device cloud and reward customers with lower Interesti ngly, BI esti mates that of the connecti vity, deployment, commissioning premiums for good driving behavior. 220 million total connected cars on the and management, points to a number The gathering and transmission of on- board diagnosti c (OBD-II) data, combined The V2X era with sensors, precise positi oning and 2012-ongoing Examples: Testa app, Nissan Nismo. driver monitoring is also criti cal for fl eet Progressive Snapshot managers, who can now track truck and 03 driver status to make sure the truck receives maintenance before breaking down. They can also check that the driver The embedded era is alert and maintaining good driving 1995-2002 04 habits. Examples: GM Onstar The new mobility era 2020-ongoing While this monitoring may have a “big 01 Examples: Tesla Autopilot, brother” feel to it, for fl eet managers The infotainment era self-driving initi ati ves by in a very competi ti ve environment, 02 2007-2012 Google, Audi, Daimler Examples: Ford SYNC, Kia UVO, GM Mylink it can make the diff erence between The R&D era staying in business, or not. Fuel savings, 00 1966-1995 automati c tolls to save ti me, along with Examples: GM’s DAIR systemr fewer breakdowns can add up quickly to reduced overall business costs. Figure 3. While the addi on of infotainment has been, well, entertaining, we are now well into the era of V2X, which combines ubiquitous sensors with precise posi oning (POS) and cellular (CEL) and short-range (SHO) communica ons. This monitoring also sets the stage for This will usher in an era of unprecedented automo ve cogni on. (Image Source: Deloi e University Press | DUpress. autonomous transportati on systems, com.)

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.19 positi oning (POS), cellular connecti vity (CEL) and short-range wireless (SHO). The result is a back up of ideas and concepts to be implemented as they’re all connected within and around the vehicle (Figure 4.) Along the lines of autonomous vehicles, heads-up displays providing lane-keeping assist or lane departure warning are an interesti ng example (Figure 5.) These require accurate positi oning, down to 1 meter or less, as well as awareness of intent, not just of the driver, but also the intent of other vehicles. Along with accurate POS, this also requires low- latency communicati ons of steering velocity and relati ve positi on and speed of nearby vehicles. Only when all that informati on is analyzed, can the onboard system indicate a go/no-go for a lane Figure 4. The IoT-connected vehicle will integrate sensors, low-cost processing, wireless communica ons, precise change. posi oning and cloud-based analysis and input to realize the poten al of V2X The next step is hands free highway driving assistance, fully automated which are on the horizon thanks to the months or less. highway piloti ng, and then autonomous work of Google, Audi, Apple, BMW, The slower design cycles for automoti ve vehicles. Blackberry, Ford and many others. These can be att ributed to the danger companies are acti vely engaged with each To achieve the accurate POS, there are and severe liability associated with many global navigati on satellite systems other to the point that it becomes almost malfuncti oning equipment. Recent diffi cult to separate car manufacturers (GNSSs) to turn to, though only two incidences of hacking only contribute to are considered to be truly global in from what were once “consumer” the level of cauti on required. That said, soft ware developers. This ownership capability: the United States’ NAVSTAR compliance with standards such as ISO Global Positi oning System (the original of the driving experience will be an 26262 help ensure functi onal safety of interesti ng tug-of-war to watch. “GPS”) and Russia’s Global Navigati on automoti ve equipment, but compliance Satellite System (GLONASS). The others BI Intelligence also points to IoT’s use in comes at the cost of ti me and money. The include Europe’s Galileo, China’s BeiDou powering driving-assistance services such same goes for wireless connecti vity across Navigati on Satellite System (BDS), Japan’s as self-parking. But this is just the ti p of global regulatory requirements. Quasi-Zenith and India’s IRNSS (Figure 6.) a very large and exciti ng iceberg called Sti ll, the applicati ons for V2X technologies V2X, the current stage of automoti ve conti nue to swell as developers fi nd new Even if those GNSSs were fully available development (Figure 3.) ways to combine sensor data with precise to the public with no constraints, accurate A report issued in August of 2015 by a team from Deloitt e Consulti ng LLP, led by Simon Ninan, showed the various stages of car connecti vity, from early eff orts with GM’s DAIR system and OnStar, through Ford’s SYNC, Kia’s UVO and GM’s MyLink, all the way up to stage 3: V2X. Next up is stage 4: Tesla Autopilot and self-driving cars. Technologies for V2X and autonomous vehicles Many of the technologies required for V2X are already either in place or are emerging rapidly from the labs, though automoti ve design cycles mean that they won’t be on the road for few years yet. Automoti ve design cycles of three to four years from concept to mass producti on are not to be confused with consumer Figure 5. Lane changes are par cularly dangerous so for assisted or fully autonomous lane changing, a system must electronics devices, with cycles of 18 be aware of its own posi on and status, as well as the posi on, status and intent of other vehicles in the vicinity.

PG.20 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net temperature range. (Figure 7.) System Country Percision Constellati on While coax has traditi onally been used, by GPS US; Global 5 M 31 integrati ng all the transceiver electronics GLONASS Russia; Global 5 to 10 m 24 in the sharkfi n or in the side mirrors (for Galileo European Union; 1 m (public); 1 cm 30 antenna diversity), lower cost digital cables can be used, though the TCU must European Space (encrypted) sti ll withstand temperatures of -40 to 105 Agency degreesC. BDS (BeiDou-2) China 10 m (Free); 0. 1 m 35 These other transceivers include Wi- Fi and Bluetooth low energy, as well (military) as cellular. While these interfaces Quasi-Zenith Japan 0.01 to 1 m 4 are good for data exchange, the low latencies required for V2V, V2I and V2X IRNSS India 10 to 20 m 7 communicati ons has put the emphasis on Figure 6. While there are many positi oning systems, only two can be considered to be globally incorporati ng 802.11p radios too. accessible, and fewer sti ll have the intherent accuracy needed for safe lane changes. Data source: 802.11p is an amendment to the 802.11 Wikipedia (Wi-Fi) standard that allows for data positi oning requires the use of multi ple receiver’s relati ve immunity to other exchange between high-speed vehicles GNSS systems, multi path suppression, interferers is a criti cal factor to consider. and between the vehicles and the Kalman fi ltering, multi -frequency handling With Europe and Russia now making eCall roadside infrastructure in the licensed and 3D dead reckoning techniques. service mandatory to under 1 m, and the ITS band of 5.9 GHz (5.85-5.925 GHz). It Datasheets generally give fi gures for US not far behind, choosing the right POS is a completely diff erent physical layer so stati onary accuracy, but true POS receiver or module is now high on the list requires its own radio. While this means accuracy should only be judged based of prioriti es all car manufacturers. more cost in terms of physical hardware on real-world dynamic performance and With the availability of modules, the as well as soft ware and regulatory how well it integrates informati on from biggest issue an OEM may now face is compliance, a large chunk of that cost can accelerometers, gyroscopes and ABS placement of the antenna. The sharkfi n be taken away using modules. sensors for speed. design is one popular approach. The modular approach is also interesti ng A good implementati on will be able to With sharkfi ns, the antenna is placed atop from the point of view of cellular enter a tunnel and have a good idea of the vehicle and coax cable is run down to operators as US-based operators require where the vehicle is unti l it re-emerges the main telemati cs control unit (TCU). full compliance checking before a device Head Unit Rear seat display (RSD) can be allowed on their network. The reasoning has to do with making sure the device fi rst does no harm. This is not legally the case in Europe. Conclusion With V2X and the Internet of Things That Really Matt er, automobiles and fl eet management are already the “next big technological batt leground,” with plenty of opportuniti es for both hardware, soft ware and services innovati on. How and when we move toward fully autonomous vehicles will be determined by how these fi rst criti cal steps are managed and implemented. Minimizing risk and error fl ows against rapid innovati on, but with such high stakes, mistakes at the expense of life and lost confi dence make choosing the right Telemati cs Control Unit (incl. eCall) Antenna module technology – and partners – a criti cal Figure 7. Antennas for both radio and posi oning informa on require coax cable to be run to the main telema cs move. control unit (TCU), but a move to lower-cost digital cabling is afoot, with all the radios integrated in the fi n (or mirrors). using 3D dead reckoning combined with From there it can be distributed using References: offl ine map matching. Ethernet, wireless, or CAN bus interfaces h p://dupress.com/ar cles/internet-of- Fortunately, POS systems generally to the head unit and rear-seat displays. In things-iot-in-automo ve-industry/ receive and don’t transmit, so the some cases, even the enti re electronics h p://www.thingworx.com/Markets/ designer doesn’t have to worry about is moved to the car roof in order to Automo ve US FCC, European CE or other wireless save expensive RF cables. This requires h p://www.plasmacomp.com/blogs/ emissions regulati ons, but a POS electronic components with extended benefi ts-of-iot-in-fl eet-management

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.21 OEM connected car solutions: questions of creation and monetization

oday the connected car is in the jurisdicti on where the wants to know where the car is, and becoming a commodity. Through manufacturer operates. These to be noti fi ed if anything happens. The T surveys of drivers, and competi ti ve requirements relate to safety. Specifi cally, second concerns remote climate control. intelligence, auto manufacturers have the regulatory authoriti es require that This is true in countries with a harsh realized that their market rivals have in case of accident the car automati cally climate, where it is very hot or very cold. already achieved some success in this noti fi es the relevant services about the The driver wants to control the climate fi eld, and consumers now require accident and its locati on, and the rescue in the car via engine start-up, or simply connected car soluti ons. And the main services are able to contact the driver to control the cooling / heati ng system. questi on for the industry now is not through the car’s internal systems and to The third story is about convenience. The whether the service is needed, but how att end the place of the accident they are consumer wants to be confi dent in his car to provide it and how to moneti ze it. unable to contact with the victi m. The and its conditi on, all the ti me. If the tyres These questi ons need to be considered at exact requirements are diff erent in each defl ate, he wants to receive a noti fi cati on the implementati on stage. country. But car-makers are required to about it; if there is an error in the on- Creati on equip cars with Telemati cs Control Units, board systems, he wants to know so that For the car-maker the implementati on which increases the cost of the car. he can decide what to do. of connected car services always means Judging from our surveys, consumers Connected-car soluti ons can also off er modifying the vehicle’s architecture and expect three great stories from an improved quality of user experience, on-board vehicle electronics. manufacturers in the fi eld of connected- when the car has a video screen, by It is important to make connected car telemati cs. The fi rst is the ability to making it possible to connect the vehicle’s oluti ons match regulatory requirements control the vehicle remotely: the owner multi media system to a wide range of

PG.22 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net Powerful Cloud Infrastructure

GSM Vehicle card

Telemati cs Control Unit (TCU) or OBD dongle

Mobile Apps Portals for OEM, dealerships, and insurance companies Smart Car

cloud services. distributed regionally in accordance Alexander Dimchenko This is what the market demands today. with the regulatory requirements. And this presents a certain technological Managing Director (Product & Technologies) To change the car’s on-board electronics, Bright Box you need to determine what exactly is to challenge. No less important is the questi on of Together with Management team he is customer experience. What exactly responsible for products, technologies, should people be given, on the basis of opera ons and presales ac vi es across all regions where bright box is doing opera ons. the connected car platf orm, in order to He has worked on complex so ware development make them happy? On the basis of our projects at Luxo , Columbus IT, Strom. company’s experience, we believe the Earlier, he was CTO of BrightConsult. best way to provide services to consumers is by way of their smartphones. recommend manufacturers to think of the Smartphones have very high penetrati on implementati on of connected services not in all countries of the world, and are as the additi on of another opti on in the equipped with operati ng systems that car, like new seats or a new multi media allow apps to be downloaded. This is the system, but as an IT project, and to follow most convenient and eff ecti ve means of the methodologies that are accepted delivering services to consumers. Taking in the IT industry for implementi ng this fact into account, it is necessary soft ware. be connected up. The car-maker has to to comply with the requirements and At present, the most eff ecti ve think about data transmission, especially recommendati ons of smartphone vendors methodologies are globally recognized to for manufacturers operati ng in several in terms of performance, appearance, be fl exible ones, such as Agile and Scrum, internati onal markets. It is important and platf orm integrati on. For example, which dictate that services need to be to comply with local legislati on. Most all platf orms now have social network implemented iterati vely. Any connected countries have specifi c requirements for integrati on, depending on the region—a car soluti on can be updated remotely. the storage of personal data, requiring fact that must be With connected car such data to be stored within the country considered. Local technology the car-maker and not transferred overseas. That is why, adaptati on must be can deliver updates via if manufacturers equip their cars with very deep. And it is the cloud, as is customary connected car soluti ons, they need to necessary to bear these with modern soft ware understand who will ensure the transfer facts in mind during manufacturers such of data from the car to the cloud and how the system’s design as Apple, Google, and this will be done. and launch stages. Microsoft . In the process Apps will be diff erent, Accordingly, the questi on of server they can roll out new and therefore it is infrastructure arises. All of connected services, modify existi ng necessary to consider cars generate a huge amount of data that ones, improve the user all these factors must be stored and analyzed. According experience, and correct when scheduling to our experience, each car generates any errors. Accordingly, it deployment. an average of about 30-50 megabytes is bett er to run this kind per month. If we multi ply that by the We also believe that of service by proceeding number of cars and the number of it is bett er not to try from a smaller functi on months they will be in service, there will using the telemati cs platf orm to cover set to a larger one, constantly analyzing be a huge volume—many terabytes— all services and markets at once. We the functi onality provided, tracking use of data to be stored, backed up, and

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.23 stati sti cs, and improving it with each by minimizing costs on startup are free. According to our update. by using a cloud system. Doing stati sti cs, more than 90% By combining fl exible soft ware everything independently and of consumers who receive elaborati on with this approach, car from scratch will defi nitely such functi onality for free manufacturers can implement the core make the cost of launching acti vate services and really technology very quickly, over a period of the technology higher use them at least twice a six or seven months, test it using standard than it needs to be. And day. This means that the methodologies that the manufacturer everybody who launches a applicati on will att ract high accepts prior to marketi ng, and then project is concerned about traffi c, and any marketplaces add more and more updates. It is not how to recoup the costs of that there may be will be necessary to try to do everything at deploying and supporti ng the eff ecti ve because of their once. You can start with a few functi ons, technology, and how to make large audience, comparable to and then gradually and constantly add money. the total audience for the car new ones. This also has a positi ve eff ect How to moneti ze manufacturer. on consumer sati sfacti on with the independent connected-car Besides marketplaces, selling car and the brand. Receiving all these soluti ons data about drivers can be new features, months aft er buying the The fi rst opti on is to make the services useful to all companies interested in this car, extends the driver’s pleasure of paid. Car-makers can disti nguish between audience. First of all, there is insurance. ownership, which also increases the diff erent expenses for the launch of their The smart insurance business is growing chance he will return to the brand for his products. Everybody has cars that they worldwide. This is linked to the fact next purchase. sell with a few modifi cati ons. There is that insurance companies fi nd it very Of course it is important to pay att enti on always a choice: either provide connected profi table to reduce risk by selecti ng to the engineering and technological car functi onality for the enti re range, policies and off ering discounts based on characteristi cs of the soft ware and of or off er it only for premium class. It is driving style. the infrastructure that will support the important to fi nd a balance. A safe driver who is connected car service. Our experience In this case, users pay for the service willing and able to indicates that it does not make sense to themselves. But, according to our provide data about invest in a specialized data center. It is stati sti cs, this opti on works less well. No his driving makes an bett er to use the cloud, parti cularly given more than 30% of users are willing to att racti ve client for an that there are now a lot of vendors who pay any signifi cant extra money for this insurance company, provide cloud infrastructure, so as to kind of service. At the same ti me, more allowing them to minimize the cost of the product launch. than 80% of respondents say they want reduce the cost of If the manufacturer sees the potenti al connected services in the car for free. insuring against to generate revenue for himself, he can They have paid for the car, and they think accidents. Insurance always transfer the service to his own that’s enough. companies will pay to data centre. But we recommend to begin The second opti on is a gain access to clients freemium model. Car- of this kind. Thus, the makers can see what car-maker can get the happens in a sector like business of generati ng leads for insurance IT: how free services companies, and creati ng a marketplace work, especially those for insurance services. Selling data is with a large audience relevant also for car dealers and providers Noti fi cati ons (search, mail), and how of map services. they are moneti zed. If the manufacturer sells a large volume OEM One answer is that these of cars, the last version of moneti zati on is services are moneti zed the most appropriate. For manufacturers through data or through operati ng in the premium and luxury DTC the sale of data to third- sector, with a small audience, the easiest Mileage party companies that sell way is to include the cost of these services or products to services in their margins, and make the auto manufacturer’s them available free of charge. But for audience. Thus, the manufacturers in the mass sector, selling car-maker can create very high volumes, it is bett er to moneti ze a marketplace where connected car functi onality through the a variety of additi onal sale of additi onal services, and through services are sold to selling data to third parti es. This must of motorists. This requires course be done with the driver’s consent: that the telemati cs and, in turn, drivers will receive discounts Authorized Road assistance <> and special off ers. Dealer service services and applicati ons

PG.24 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net In Vehicle Connected Customer Experience that matters! assenger cars in today’s ti me would invariably ask, “What is in it for would see an explosion of me?” ,“Could it give me anything that I P innovati ve features on “in-vehicle can’t already do with my smartphone connecti vity” and that would provide the and my current system”. Yes, customers OEM with the much-needed competi ti ve might argue, that they would never diff erenti ati on. When all other features get into a road accident so serious, (like, styling, LED headlamps, improved that they cannot locate their smart NVH, Power versus fuel economy), which phone and call emergency assistance. historically used to serve as customer However, if this situati on does happen, “delighters” are rapidly regressing then customer would certainly get towards “basic needs” or must haves”, enormously benefi ted, if the in-vehicle (reinforcing Kano’s Model), enhancing system automati cally fetches some help. customer value through in-vehicle So what else can provide value from connecti vity provides a welcome area in-vehicle connecti vity? I think ,except for every OEM’s to work on. Every the outlier’s event like the accident, OEM, worth its salt is doing something menti oned above, the value would come, or the other to explore this area so if the vehicle provides a percepti on to the that customer feels connected, safe owner that the car will never fail him/ Soumen De, PMP and comfortable while driving his/her her. The customer would love to get this EGM, Operati onal Excellence vehicles. Thanks to the “wonder” device, assurance from this in-vehicle platf orm GM Internati onal Quality the smart phone, that has become the that he/she will be never stranded or General Motors sixth sense for us. In this increased never surprised if he/she drives the digiti zed world the in-vehicle connecti vity “connected” car. No one wants to wake a ‘walk-home’ event. The dealer can platf orm can use the smart phone to up with a car that fails to start, no one also look into those alerts to identi fy control the navigati on, entertainment would like to drive a car that leaves him/ and/or organize the parts and service and communicati on of the vehicle. Smart her stranded on the highway with a fl at necessary to give a ‘best experience’ to phones today represent the gateway to ti re or a dead batt ery or a damaged the customer when he/she proacti vely in-vehicle data traffi c that car makers fuel injector pump. Imagine a car, that pulls the vehicle to the service center. have been dreaming of building into provides an assurance that OEM’s support This is similar to the technology being their human machine interface. It will is always behind its customer, then this adopted in Boeing 787. The connected be a matt er of ti me, when in-vehicle car would give a strong positi ve feeling feature of the airplane can send in-fl ight connecti vity technologies would be to the customer of being “connected” messages to ground crews alerti ng used by OEM’s to enhance customer’s to someone who cares for him/her- one them of parts needing inspecti on before value by self - diagnosing a problem, who is always ready to listed to his/her the plane arrives for service, reducing automati cally sending an repair alert, problems and off er soluti ons . It is one unexpected repairs. To summarize, the or call an emergency number, allow thing to off er the customer what music in-vehicle connected customer values in-vehicle payment and even monitor he/she would love to listen. However may not come from giving a host of apps driver’s behavior which can serve as the “connected” feeling means a whole in the HMI of the vehicle through which a reference for insurance premiums. new paradigm from an engineering stand the customer can identi fy the directi on However, the challenge that needs to be point? This means to provide a service map or locate the next McDonald shop overcome would be how these in-vehicle to the customer to have an “on demand” in the highway or get the music that connecti vity system would compete or diagnosti cs. Through a touch of a butt on, soothes his/her mood. Many OEM are diff erenti ate with the features already a back end advisor or agent can carry out heavily inventi ng in off ering these kind available in the smart phones. According a complete scan of the vehicle to alert of value to its customers. However, it to the JD Power’s 2015 Driver Interacti ve the owner on the ‘health’ of the vehicle might be argued that same feature is Vehicle Experience, connecti vity soluti on and recommend proacti ve maintenance already already there is the smart phone. like in-vehicle concierge services, heads acti ons. The other would be the proacti ve But the “connected” value may be an up displays and built in apps are among alerts. The onboard diagnosti cs or back order of magnitude higher, if the same the top 5 functi on that respondent report end agents can scan the vehicle’s process customer use the same smart phone to they never use in the fi rst 90 days of car variables, e.g. RPM , Power , Engine trigger a diagnosti c scan, that provides a ownership - a ti me frame described as Conditi on, Batt ery Conditi on etc. and reassurance that he/she is ready to use a a “make or break stage”. This implies, if send a proacti ve alert to the vehicle embark a journey with a car that would the customers have not used it for fi rst owner on whether the batt ery needs reach the desti nati on without making 90 days, it is very likely that they are immediate att enti on or the fuel pump him/her stranded or surprised during the not going to use it in future. Customer needs immediate att enti on to prevent journey.

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.25 Predicting Starting System Anomaly

Introducti on System functi ons provide acti onable informati on to operati onal and Advisory Generati on (AG) In the past, Systems were primarily maintenance personnel or external systems operati ng in the diagnosti cs only paradigm in which the focus was the System functi ons provide future state of health. performance life Prognosti cs Assessment (PA) remaining, of remaining useful life (usage) indicators. detecti on and identi fi cati on of the root causes of failure. Now with advances System functi ons provide informati on to determine the current state of in sensor technology, communicati on Health Assessment (HA) health of equipment. technology, IT and Analyti cs it is possible State Detecti on (SD) System functi ons evaluate equipment state conditi ons against normal to predict when the criti cal assets will fail operati ng profi les and generate normal or abnormal conditi on indicators before the fault occurs. This interesti ng applicati on area is called Prognosti cs Data Manipulati on (DM) System functi ons process and transform the sensor data and hearth state Health Management (PHM), which will informati on cobectod by the DA facilitate health monitoring and tracking System functi ons Collect sensor data and health state informati on from of system/component degradati on Data Acquisiti on (DA) equipment internal monitors, vehicle data bus Or data transfer system severity to prevent a Subsystem Source: SAE Paper-2016-01-0075, Published 04/05/2016 component from degrading to the point beyond its operati onal performance anomalies steps ahead into the future. The following are the inputs for Algorithm envelope. PHM consists of following This can aid in providing Proacti ve Alerts to build the predicti on model: layers as per ISO 13374, upcoming of Anomalies before the staring motor → Scalar Conditi on Monitoring and Diagnosti cs system fails to operate. → Categories standard. Approach → DateTime This arti cle shows how Anomaly Based on the research, for predicti ng the anomalies of Starti ng system it was found → GPS Detecti on is realized using algorithm for that conti nuous learning algorithm is best For the current problem scalar values real ti me streaming sensor data from suited. It learns each data point using from the IVT sensor (Current and Vehicle Starti ng System using a Telemati cs unsupervised Hebbian like associati ve Voltage) are used. IOT hardware. learning mechanism. The algorithm builds Data Collecti on The functi on of a vehicle’s starti ng system models automati cally from conti nuous Any IOT Hardware developed for is to rotate the engine’s crankshaft fast data streams. It learns spati al and Automoti ve Telemati cs can be used enough so that combusti on can take temporal sequence patt erns and predict to acquire the data of a starter motor place, and the engine can begin to run the next sequence patt ern in mutliple system from the IVT Sensor and stream under its own power. This system, is steps. The Algorithm makes multi ple into the cloud server. The setup is shown commonly referred to as the “cranking system”. Providing the cranking power needed for reliable engine starts requires Cloud Server all starti ng system components to be in good working order. Testi ng the starti ng Data system can confi rm that it is functi oning Extracti on & CSV Data Modelling properly, or provide valuable diagnosti c Transformati on &Analysis informati on to isolate a problem in the system. The STARTING SYSTEM TEST Data Transformati on System Prognosis Framework Anomaly Alert Dashboard measures starter current draw and cranking voltage. If the engine cranking speed is good, and the starter current draw amperage and cranking voltage readings are within specifi cati ons, you can generally conclude that the starti ng Voltage system is functi oning properly. But, if the IOT GATEWAY starter does not crank, cranks too slowly, Current or the amps and/or volts reading are not Data Acquisiti on System within, further testi ng will be required. If starter current draw is too high, voltage is below 10 volts, or the engine cranks predicti on online simulataneously as below: slowly a problem is indicated and evaluates the likelyhood of best Starter Motor Current and Batt ery voltage The starter Motor Current and Voltage predicti ons. As a result, model rapidly are fed into the ADC channels of IoT behaviour analysis enable to predict the adapts to changing stati sti cs data.

PG.26 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net Voltage starter_Motor_system_failure.csv Show non-aggregated data RESULTS EXPORT DELETE

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0 B K Ramesh Director Intellipredikt Technologies Telemati cs hardware, which is processed predicti on is set in the python script. He is electronics & communica on engineer with and sent Via GPRS Module to Cloud 3. If it sees, patt ern not predicted or 25+ years experience in in Automo ve, Robo cs and Server. Data from vehicle fi tt ed with not expected, Algorithm computes Industrial Control and Communica on Systems with good starter motor and vehicles fi tt ed leading companies like Bharat Electronics, Motorola, Anomaly Score for each patt ern it Dearborn Electronics. with near to failure starter motor shall be receives in comparison with the collected for this experiment. predicted patt erns. If an unexpected web applicati on sent a high anomaly Data Set Descripti on patt ern is detected, it will update it alert indicati ng a potenti al problem in For this problem the dataset is having learning table and adapts it as a new the starti ng system. This was followed Date-Time, Voltage and Current as normal next ti me. by another high alert on 9th where the columns in the header row. There are cranking of the vehicle was becoming 4. Based on Anomaly score/Probability worse indicati ng the Starter System would 4033 record rows. The data set comprises score, Anomaly ti cket email of Normal current, voltage behaviour data fail completely. And on 10th of July there noti fi cati on is sent to the stake was another high Anomaly alert, aft er as well as abnormal data acquired from holders. vehicles. which the starter system had died. 5. Dashboard will show the real ti me Below is the sample Starter Motor CSV Pro-acti ve Anomaly Alerts were classifi ed monitoring of Current and Voltage based on the Anomaly scores. One can Time Voltage Current behavior, anomalies detected in see a correlati on of High Anomaly score Graphical or Table form. Monitoring 1466985600 12.4 8.5 to the system failure / degradati on with can be done on PC and mobile app. minimal false positi ves, leading to starter 1466985600 12.4 8.5 The result below shows only the PC Motor system failure. Dashboard. 1466986200 12.4 8.5 The experiment was able to predict the Results 1466986500 12.4 8.5 failure of the Starti ng System 3 days The above data is the Current Sensor data ahead. 1466986800 12.4 8.5 of starter motor for a passenger vehicle. Each cranking cycle has 288 data points. Limitati ons And Further Experiment In the above graph the, Improvements The Experiment can be done in offl ine or For the above Experiment: online. • Green Indicates: Normal Conditi on • Yellow indicates: medium Anomaly 1. Analysis was done with limited data 1. Stream the Good Working Starter detected set but there is scope for conti nuous Motor data that has normal operati ng • Red indicates: High Anomaly detected data analysis from a real applicati on values to the Sequence Learning • Grey Porti on in the lower region data set. Algorithm that runs in the Cloud. indicates that learning ti me. 2. Only 2 parameters are used for This can be done by a custom python The starter Motor system was analysis, but can be extended to multi - script. conti nuously monitored and analysed dimensional values. 2. Algorithm builds Models for Voltage through the web applicati on for 3. Diagnosti cs and RUL Predicti on was and Current Metrics, learns the spati al anomalies. There were no signifi cance not in scope but will be added in and temporal patt erns of streamed alerts seen or applicati on had not future as some work is under way. data for a certain period of ti me unti l issued any alert ti ckets from 25th of 4. Alerts require expert to analyze, it able to predict the next patt erns. June (Start of the Data Monitoring and classify and validate it for the likely Predicti on is conti nuous and steps of Analysis). However, on 7th of July the failure predicted.

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.27 Telematics – How Smart Public Transport Systems in-the-making can benefit from it

fl eet owner in the busy central ti me the vehicle crosses the defi ned district of the Nati onal Capital boundaries. Telemati cs, now, is moving A Territory of Delhi—with 100-odd to new industry and market segments. trucks on diff erent consignments at any According to the “Global Automoti ve given ti me—picks his smartphone and Telemati cs Market - Analysis and Forecast within seconds get informati on on where (2016-2022)”report by Research and every single vehicle is and how fast it has Markets, the global market for telemati cs sped, as he juggles between taking new is esti mated to reach $55.97 billion by orders and reviewing his account books. 2022 at a CAGR of 21% between 2016 and Through the GPS and sensors installed 2022, with the APAC region expected to in the trucks, heaven gets to know how grow at 22.1%. long their travel across various locati ons Let us look specifi cally at the case of have taken. Now imagine another India. As the technology becomes more scenario- somewhere on expressway, a accessible, telemati cs will soon see truck collides with the divider, leading increased take-up in a territory that is to breakdown of vehicle and serious so important for India’s socio-economic injury to incumbents. Instantaneously lifeline—the public transportati on the on-board communicati on device in systems. With India aspiring to transform vehicle reports the incident to nearest its citi es into world-class smart traffi c police personnel for emergency Dhruba J Sarma metropolises, ensuring safe, reliable and assistance. Product Business Leader- sustainable mass transit systems for the Infotainment and Head of This is telemati cs in acti on, which citi zens will be crucial. Europe—which Engineering – IoT Products integrates wireless telecommunicati on boasts of some of the best designed networks and informati cs to create a transportati on systems — has the KPIT Technologies connected vehicle. Since its introducti on world’s highest number of residents who Dhruba focuses on op mally bringing connec vity a decade-and-half ago, the technology commute to work by bus or train, thanks products and applica ons to emerging markets. With 19 years of experience in the automo ve industry, has also integrated functi ons such to its integrated and well-connected he has extensively worked in the areas of powertrain, as route navigati on and geofencing- transit systems. In contrast, India has AUTOSAR, vehicle cockpit products like instrument which allows the fl eet administrator to accounted for a rapid rise in registrati on clusters and infotainment, and body security. set up triggers to receive alerts each of cars over the last few years. It touched

GPA Satellite GPS/GPRS Network Cloud/Local Server Storage

Bus Stop & PIS PIS on Smart Phone

E-Boards CCTV PIS

LED

Bus Stop Ticketi ng

Seamless Integrati on Automati c Vehicle CAN 2.0. RS.232 & 485, Flexible Architecture/ Upgrade Over Locati on(AVL) USB 2.0 Connecti vity Easy Customizati on wi-fi & USB

ITS Bus Command Center

PIS (Audio Surveillance Emergency ETM Vehicle Health Monitoring Announcements Camera Voice Calling Interface & Diagnosti cs (VHMD) Emergency Services

PG.28 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net an all-ti me high of 1.96 crore registrati ons vehicle to reach the emergency spot in → The product design methodology in 2015, propelled by high uptake of the shortest ti me possible. should be such that it ensures GPS passenger vehicles. This naturally calls for signal opti mal conti nuity and strength. Telemati cs can also help in reducing a signifi cant revamping of how our public Further, it is also essenti al to identi fy the number of road accidents caused transport faciliti es operate and how the ideal locati on for mounti ng the due to driver negligence. For example, accessible they are. GPS on multi ple models of buses, transporters can analyze data of how and engage with providers off ering Increasing high speed internet a vehicle is being driven, by generati ng the best GPRS connecti vity in their connecti vity and access to next anintuiti ve scorecard on parameters such respecti ve locati ons. generati on technologies such as cloud as over-speeding, harsh accelerati on, based storage and analyti cs, M2M harsh braking etc. by the driver. This → Safeguard the in-vehicle (machine-to-machine) and IoT(Internet intelligence can be used for taking communicati on systems by installing of Things) will play a signifi cant role in correcti ve measures like training switches that alert the driver or the driving telemati cs. STUs (state transport programs for drivers to prevent accidents command center in case of device undertakings) can make their fl eet more because of over-speeding. tampering. effi cient, safe and green by benefi ti ng in → With so much data being exchanged two major areas, as outlined below. II. Pro-acti ve vehicle diagnosti cs The Urban Bus Specifi cati on-II norms between devices, it is crucial to specifi ed by the Government of India protect the system from cyber-att ack makes it mandatory for all the states or digital theft . It is criti cal that every to procure Integrated Intelligent bit of data stored is properly encoded telema cs is becoming Transportati on Systems (ITS) enabled and is transferred over secured “ buses with advanced safety features, in protocol when shared. additi on to being free from vibrati ons, → A lot of data is generated from the a bigger, more and harshness. Another important set of manual entry of ti cketi ng systems; specifi cati ons are in the area of vehicle therefore, it is important to digiti ze integrated and more health monitoring and diagnosti cs the enti re system as much as possible. intelligent system for over 90 key parameters of engine, transmission and electrical system. V2V (vehicle-to-vehicle) and V2X (vehicle by-the-day, and slowly To comply with this, State Transport to everything) connecti vity will defi ne the Undertakings(STUs) should look at a extent to which we can make use of the absorbing everything comprehensive applicati on that connects data that comes out of each bus. They can its command center to the bus on the improve traffi c management by enabling that is connected road. This could be achieved by creati ng: vehicles to communicate with roadside infrastructure, say for example the traffi c → Vehicle monitoring dashboard which lights and signs. V2X, which refers to an allows detecti on of emergencies along intelligent transport system wherein all I. Passenger safety with resoluti on work fl ow process, vehicles and infrastructure systems are Bus occupancy rates in Indian city buses and custom alerts based on defi ned connected with each other, will help in are, in average, low. This is largely due events like geo-fencing, speeding, providing accurate updates on the traffi c to factors such as errati c bus schedules, accidents, delays and other events. long waiti ng ti me and lack of security situati on across the enti re route and road and safety measures. The soluti on to → Intuiti ve scorecards for driver behavior network—resulti ng in opti mized traffi c this lies in the integrati on of technology and vehicle health monitoring fl ows, reduced congesti on and accidents. with the public transport system. With → MIS (management informati on Clearly, telemati cs is becoming a bigger, sophisti cated on-board GPS, GSM, systems ) reports that provide detailed more integrated and more intelligent cameras, surveillance systems and informati on on vehicle usage, mileage, system by-the-day, and slowly absorbing functi onaliti es such as panic butt ons preventi ve maintenance schedule etc. everything that is connected. The ability on-board the vehicle, buses can to foresee this and keeping connecti vity streamimages real-ti me to command The above, put together, result in acti ons technologies open to new modules will centers of STUs, which can then respond towards lowered bus wear and tear, allow building new intelligence.This, to emergencies appropriately. In case reduced bus break-downs and enhanced supported with the right infrastructure, of accidents, on receiving the alerts and passenger experience. technology partnerships and fi nancing images sent by the bus, the command by the government, is expected to center can establish communicati on Imperati ves for successful drive applicati ons of telemati cs from with the nearest bus depot as well as implementati on basic tracking and route guidance to identi fy the closest required emergency Since remote monitoring forms the sophisti cated analyti cs. Such enhanced response vehicle such as the ambulance, backbone of telemati cs, the wireless applicati ons of telemati cs platf orms will fi re brigade or police van. If need be, networks and infrastructure which lead to multi -fold increase in the use and the command center operator can also support it should be robust and enable eff ecti veness of our public transportati on inform the nearest traffi c police to create conti nued connecti vity between the systems. clear passage for the deployed emergency vehicle and the operator.

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.29 Big Engineering Data: Value-adding Capital of the Future

end customers through higher quality So, what challenge does this big data and individuality in order to not be a currently present for design engineers? victi m of global convergence in vehicle One of the diffi culti es is that data volumes functi onality. Doing so requires a much are so high that they cannot any longer be deeper understanding of customer deposited in one piece of main memory demands, environmental impacts, and of a single computer or on its hard disk operati ng conditi ons. Conducti ng this for processing, making it necessary to level of analysis requires collecti ng data parti ti on data before evaluati on. Data in large volumes, and enabling engineers also need to be analyzed at the same rate to make the right strategy and design of collecti on as important product decisions based on this. decisions depend on the results of data What does Big Data mean in an analyses, and computati ons which take engineering context? several weeks will introduce expensive delays in subsequent stages of the vehicle In the past, the volumes of data design process. analyzed by engineers to opti mize a broad range of vehicle components like Another challenge is the rapid growth of Thorsten Gerke engines, transmissions and chassis were data volumes in automoti ve applicati ons. Dipl.-Ing. & MBA manageable. Engineers were able to Today, vehicle networks generate several gigabytes of data per minute. As a result, Thorsten is Automoti ve Industry process and analyze the data on desktop machines without notable eff ort. Over the data servers of automoti ve companies Manager and Head of Automoti ve ti me however, data volumes have risen are fi lling up with increasing speeds with Marketi ng for EMEA to the range of tera- and even petabytes. data that have been recorded during fl eet The reasons for this are complex. Firstly, tests and then deposited on off -board or automoti ve engineers, data the number and diversity of sensors servers for subsequent analysis and and analyses have always been employed in vehicles keeps increasing analyti cs. F important criterion for vehicle as driver assistance systems become One last point is the diversifi cati on design in order to develop products of prevalent and the moves towards the in big engineering data. In-vehicle high quality standards and durability. long-term vision of automated driving sensor systems provide various types However, competi ti ve pressure on (Figure 1). Additi onally, vehicles are of informati on like batt ery currents, automobile manufacturers is visibly increasingly turning into communicati ons vehicle speed, GPS data, the positi ons increasing competi tors introduce new nodes that can exchange informati on and relati ve speeds of external objects, features that are typically included in the with their environment and other cars, etc. The questi on this raises is how design stage at the supplier level. In an ulti mately making them part of the can all these data types be holisti cally automoti ve market characterized by this Internet of Things. Bain & Company applied and related to each other in pressure, anyone wanti ng to stay and esti mate that by 2020, about 20 million order to successfully opti mize the design set themselves apart needs to convince cars will be networked with each other. and implementati on of the vehicle’s Recorded Sensor Data Radar Camera Radar Big Speed Radar Batt ery GPS Engineering LIDAR Radar Radar Data Camera Temperature

Figure 1: The vast amount of vehicle sensors and Big Engineering Data (© MathWorks)

PG.30 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net functi onal design, its operati on strategy as for processing it on compute clusters. expressed in control algorithms, and also The goal was to perform the complete its performance to environmental and analysis of the data collected inside operati onal conditi ons? the cloud by taking advantage of high Below, we will present three examples of processing power to get results quickly. how MATLAB helps to effi ciently employ MATLAB off ers a number of ways big engineering data in the context of to parallelize computati ons. One of automoti ve product design. The fi rst two them is using MapReduce in MATLAB examples refer to a real fl eet text example together with the Hadoop Distributed designed by MathWorks and the third File System (HDFS). MapReduce enables applicati on case presents an approach for the parti ti oning of large data volumes the verifi cati on of safety-criti cal vehicle into smaller data packages where functi ons as performed by SCANIA. analyti cal problem can be applied Building a big engineering data test in an intermediate step, aft er which system the parti al results are aggregated in a next step to give the fi nal result. For MathWorks Consulti ng Services has the MathWorks fl eet testi ng system, Dmytrij Martynenko been engaged in projects for developing the parti al computati ons are then M. Sc. MATLAB-based data analysis and analyti cs parallelized on several machines in He is an Applicati on Engineer at systems with numerous customers the cloud using MATLAB Distributed and integrati ng them into existi ng tool MathWorks and specialist for data Computi ng Server. MathWorks off ers a environments. To demonstrate the value analyti cs, machine learning and scalable parallelizati on soluti on (Figure of big engineering data, the team has Big Data soluti ons 3), which helps to initi ally parallelize developed an automoti ve data analyti cs the computati on on a local multi -core demonstrati on that shows how MATLAB PC in order to accelerate the analysis of can be employed for vehicle fl eet tests. done on the data are transferred to the part of the data, developing initi al ideas The fl eet consisted of 25 test vehicles that Computi ng Cloud. While doing so, the and prototypes for the algorithms used were deployed over various geographic data analyti cs can also be integrated to analyze the overall data. Once this regions to account for the impact of into a web-based business applicati on, concept and these algorithms are proven, diff erent infrastructure and operati ng allowing engineers to control data access the next step is to apply both to the full conditi ons as well as individual driving and analysis intuiti vely using a web portal data set and to perform MapReduce habits. The vehicle sensor data was read without the installati on of an additi onal computati ons in the cloud using MATLAB during trips and sent to and pooled at Distributed Computed Server. This means Data Analyti cs and gaining Insight the Amazon EC2 Cloud data server, while modifying the traditi onal approach for The goal of data analyti cs is to provide the vehicle was driving, using a cellular data analyti cs, which historically meant intelligence that helps to identi fy connecti on (Figure 2). The system uses feeding the data stored on a server to the potenti al areas for opti mizati on and a Hadoop Framework which stores the analysis tool. Using MATLAB Distributed innovati on. For the fl eet testi ng system data on a distributed fi le system as well Computi ng Server the computati ons built by MathWorks, two applicati on

OBD2 Bluetooth 4G LTE

Deployed MATLAB MATLAB Desktop

LAMR Stack Hadoop Ecosystem Rails Hadoop HTTP Apache Mapreduce Ubuntu HDFS Linux Amazon EC2 Figure 2: Creati ng the MathWorks Data & Analyti cs Framework used in Fleet Testi ng (© MathWorks)

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.31 the Brake Specifi c Fuel Consumpti on consumpti on based on geographical (BSFC), which relates the mechanical informati on. A web-based applicati on power generated to the fuel consumed. then made the fi nal results available Customers oft en explore this opti mizati on (Figure 5). The data provided various problem using Model-Based Design insights for e.g., it demonstrated at which approaches. MATLAB provides a data- juncti ons unnecessary fuel consumpti on driven aspect, which considers the fuel was caused by excessive waiti ng ti mes. consumpti on based on vehicle data The data recorded and analyzed using recorded during real-world driving MATLAB showed that a waiti ng ti me of scenarios. For 27 vehicles fl eet testi ng about 90 seconds at one of the most system, the BSFC data was derived from traffi c clogged juncti ons causes a fuel various real-world driving scenarios like consumpti on of 0.0034 gallons. If the daily commuti ng to work of the drivers juncti on were replaced by a roundabout, involved. For analysis the mechanical a total of about 120 gallons of fuel torque was plott ed against functi on per day could be saved, resulti ng in an of rotati onal speed (Figure 4). The emission reducti on by about 2,500 tons mechanical power output is constant CO2 per year. From the perspecti ve Arvind Hosagrahara along each of the hyperbolas plott ed. In of an OEM, consumpti on data can be additi on to the mechanical evaluati on applied to adapt the operati ng strategy of M. Sc. parameters recorded, data from other vehicles to the infrastructural conditi ons He is Pilot Engineer at MathWorks sensors like GPS, together with digital or to integrate features like start-stop and consultant for customer maps, was applied to ensure that the or coasti ng into the drivetrain control projects in the area of data analysis vehicle keeps operati ng at maximum fuel algorithms to opti mize fuel effi ciency using MATLAB and scaling in the effi ciency through forward-planning. This Big engineering data analysis of context of Big Data will key to give drivers the opportunity ADAS functi ons to choose between diff erent automated Driver assistance functi ons generate driving modes (e.g. Eco, Sport). signifi cantly more data than other cases were explored: The second use case of the MathWorks systems in the vehicle. For e.g., cameras → Opti mizati on potenti al for specifi c fuel testi ng system was looking into the and other sensors are used to create a consumpti on questi on of how fuel consumpti on is high-resoluti on environmental model → Analysis of infrastructural impacts on aff ected by diff erent infrastructural that describes the objects in the near product planning impacts. This helps vehicle engineers to periphery of the vehicle in order to Opti mizing fuel consumpti on of draw conclusions on useful opti mizati ons prevent possible collisions, which can automoti ve powertrains requires not for built-in functi ons, and can also generate large data volumes. At a recent only combusti on engine opti mizati on, provide quanti fi able basis for future MathWorks Automoti ve Conference, but also requires design interplay with infrastructure modifi cati ons that reduce SCANIA presented the team’s design the transmission in a way that makes fuel consumpti on and emission. For approach, where Model-Based Design gear changes happen just at the most this, MATLAB was connected to business in Simulink was connected with MATLAB opti mal fuel effi cient operati ng points. intelligence soft ware that linked the for data analysis. To implement an The evaluati on parameter used here is recorded GPS data together with fuel Automated Emergency Braking system

MATLAB Parallel Computi ng Toolbox MATLAB Distributed Computong Server

Figure 3: Parallel Computi ng with MATLAB (© MathWorks) Skalierung & Performance Steigerung

PG.32 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net Brake Specifi c Fuel Consumpti on - BSFC (g/Kwh)

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1000 1500 2000 2500 3000 3500 4000 Speed (rpm) Figure 4: Set of BSFC Characteristi c Curves in MATLAB (© MathWorks) (AEB) for trucks, SCANIA designed a sensor fusion algorithm that has been verifi ed and conti nually opti mized to producti on maturity using recorded data Map Chart from their test truck fl eet. This has been done through testi ng the algorithms for sensor data fusion and situati on analysis using recorded data from real-world driving. The recorded data is analyzed to confi rm that the algorithms have correctly identi fi ed objects and traffi c situati ons. In places where the algorithms have incorrectly assessed the sensor data (e.g. by not detecti ng an object present), the fl aw in the algorithm is corrected by the developer and the improved algorithm is reapplied to the recorded sensor data for verifi cati on. SCANIA states that their fl eet tests have generated about 80 terabytes of data (from nearly one million miles Fuel fl ow rate/minute(gal/min) vs. GPS Time driven on real roads), which is available for safeguarding the algorithms. Literature& Resources: Bain & Company - Big Data revoluti on iert die Automobilindustrie Jonny Andersson, Scania - Model-Based Approach to Resource-Effi cient Object Fusion for an Autonomous Braking System (MathWorks Automoti ve Conference 2015), Figure5: Analysis of the infrastructure and fuel consumpti on (© MathWorks) MathWorks Fleet Analysis Projekt - htt p:// Engineering Data Analyti cs with MATLAB Improving Engine and Vehicle Design ec2-54-187-132-60.us-west-2.compute. (MathWorks Automoti ve Conference Using Big Engineering Data Analyti cs and amazonaws.com 2015) MATLAB Dmitrij Martynenko, MathWorks – Big Arvind Hosagrahara, MathWorks -

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.33 Collaboration is a Key Strategy for Automotive Telematics Ecosystem

fully automated driving would probably without knowing complexiti es of take longer ti me to be reality. To individual system brings in to make it develop associated ecosystem quickly work seamlessly. to realize dream of fully autonomous Car makers have a unique opportunity vehicles would need cooperati on from to build a new way to interact with their many technology partners from various customer base and could fi nd telemati cs domains and lot of collaborati ve eff orts. as a new tool to expand its brand equity. This might need car maker to enhance their data management skills, data Car makers have a analysis and keep control of enormous unique opportunity data being generated. It might need them to collaborate to partner with to build a new way technology experts to provide various services. These experts would help them to interact with their to keep abreast with technology, which is customer base and changing, at a rapid pace. Being interconnected is essence between Patrick Qian could fi nd telema cs consumers and automakers; consumers CEO and vehicle. Consumers, mobility and Quectel Wireless Soluti ons as a new tool to the ecosystem are causing traditi onal industry borders to be redrawn or even He has over two decades of experience in Global telecommunica on industry. Before Star ng Quectel in expand its brand disappear. Requirement of cars are going 2009, he held various R & D and Senior management beyond movement of people to off er posi ons at UTStarcom, Motorola, Alcatel ZTE etc. equity. This might Under his leadership, Quectel has grown to employ sophisti cated features, comforts and more than 300 at over 20 offi ces worldwide need car maker to data for further improvement making cars increasingly intelligent. Concept ehicles have evolved from mere enhance of mobility is getti ng redefi ned again and again catalyzed by electronics and transportati on mediums to No single player can hold dominant telecommunicati ons enterprises. V advanced mobile connecti vity positi on in the Automoti ve Telemati cs and platf orms.The evoluti on of automoti ve but it would be need contributi on from Key driving factors for global commercial telemati cs have undergone from mere various tech player who would enable it telemati cs markets are penetrati on of hands-free calling to screen based and to be reality such as: smart phones, ever reducing connecti vity cost, availability of high speed internet portable navigati on, satellite radio → Cellular and positi oning module bandwidth through LTE, governmental etc. Now we have been experiencing suppliers for wirelessly connecti vity mandate in terms of safety compliance vehicle connecti vity which is more of the data between vehicle on move etc. By 2020, it is expected that quarter comprehensive. It is ti me to enjoy and data centers billion connected vehicles would be on automoti ve driving featuring seamless → Hardware suppliers for the devices road enabling new in-vehicle services and integrati on of mobility and the web. and equipments that send and receive automated driving capabiliti es featuring As in most emerging sectors, the wireless signals comforts and convenience. According boundaries of telemati cs are quite fl uid → Soft ware suppliers for infrastructure to Gartner, Inc. The Indian telemati cs at the beginning and gradually gets and/or specialized applicati ons market is expected to reach $113.7 well defi ned. As the market matures, → Telemati cs service providers (TSPs) for million by 2018, growing at a CAGR of companies unable to forge strong off ering GNSS, entertainment service, 22.8% from 2013-2018 according to a partnerships with car makers, operators, remote diagnosis and etc. for car recent reportf rom 6Wresearch, India. HW&SW suppliers, telemati cs service makers The only way to maintain this dramati c providers, other major players will have → Wireless carriers for the bandwidth growth for automoti ve telemati cs an increasingly diffi cult ti me staying in the are vital link. market is technology agreements and space. → Content providers for generati ng the collaborati ons. informati on sent to the vehicles IBM Automoti ve Global Study forecasts Like any other market in India “Vehicle → Automakersfor ensuring that that automoti ve industry will off er a Telemati cs” is also expected to follow everything comes bundle together greater personalized driving experience same trajectory to grow exponenti ally in as one cohesive system to end user by 2025, fully autonomous vehicles or coming years.

PG.34 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net Usage Based Insurance – New Dawn in Indian Insurance Sector

here has been a lot of talk and with a higher perceived/ actual customer chatt er on print and social media value. T on ‘Telemati cs’ and Usage Based The UBI space has a bunch of services or Insurance (UBI) coming together in a big uti lity off erings that installing a device in way in India. While the enthusiasm is a car can enable and connect the driver good and the model has been in place and car to this ecosystem. I believe that for over 5 years in countries like the US, most of the future off erings and acti on UK and more recently in Italy and South would be pertaining to these services Africa – telemati cs in the Indian context off ered. Each of these services will target as well as consumer behaviour diff ers. For a specifi c customer value like the ones any insurer, OEM or a product company discussed above and will consist of a to come up with such an off ering, the bundle of services, which belong to the concept will need to be Indianised. self-contained ecosystem. Let’s look at Let’s start with some basics – UBI some of these possibiliti es - essenti ally means calculati ng insurance 1. Infotainment Services through the premium on the go. In other words, Telemati cs device- radio, video, news, premium is calculated based on the emails, calls, social networking sites number of kilometres the vehicle is driven and factors such as how it is 2. Navigati on / Locati on based Services driven and when or where it is driven. – points of interest, parking, fuel Sourabh Chatt erjee All this data is received by the insurance prices, weather, traffi c / journey ti mes, Head - IT carrier through a plug-and-play device specifi c off ers based on locati on Web Sales and Digital Marketi ng which fi ts easily into the OBD2 port of a 3. Fleet Management Services – Bajaj Allianz car (all cars manufactured in India aft er managing a fl eet of commercial vehicles, including safety of drivers, 2013 have an OBD2 port) and transmits relati vely successful and have the largest goods and overall safety informati on through GPS. UBI gives amount of Telemati cs data are the United a bett er understanding of the risk for 4. Safety based Services – remote States and Italy. The US market is now the insurance carriers as they can then monitoring, tracking of stolen mature in Telemati cs off erings with tailor an insurance package based on the vehicles, emergency services provided Insurers such as Progressive Insurance driving behaviour, driving distance, ti me through Connected Car services pioneering its Snapshot device model in of the day when the vehicle was driven 5. Convenience, Savings and Profi t / early 2011 and today, along with other etc., in additi on to assistance during Benefi t based Services – toll fees, Insurers like All State, State Farm etc. emergencies. green/eco driving, saving fuel through accounti ng for 4% penetrati on in the Next, to talk about the current and future habit opti misati on, car sharing, driver US. Italy is an interesti ng case study, possibiliti es, we must look at the UBI and behaviour tracking for insurance because, though they started a bit late, Telemati cs business model for insurers. premium savings with models like with the right combinati on of price, Fundamentally, if you look at the Pay As You Drive (PAYD), Pay How You value propositi on and a forward looking propositi on for a Telemati cs product or Drive (PHYD) and the more advanced regulator, the country has caught up fast, service, it would be the following – Control Your Driving (CYD) and today, around 16% of all Insured cars running in Italy carry a Telemati cs based → Customer Value > (Cost of the device + Two generic business models (we can device or app. Price of the Service off ered) slice and dice them as we want) emerge → where, Customer Value = Convenience out of the myriad possibiliti es of services Other markets like the UK are catching up or Savings or Safety or Emergency play above and most of the possibiliti es in fast with Insurers like Aviva adverti sing Assistance etc. the future will be based on one of these heavily through TV commercials, print models: media adverti sement etc. and focusing If you look at the formula above, while the enti re off ering on ‘young’ drivers. the cost of the device can go down only 1. Enable once for free, bundle Meanwhile, Insurers like Discovery in so much, the lever to manoeuvre would subscripti on based services South Africa have come up with an be the service. This means the enti re 2. Charge for enabling incremental internati onal best practi ce model called ecosystem of Value Added Services (VAS, subscripti on based services based on Discovery – Vitality drive, where cash- which means bundling of services useful the Freemium model back incenti ve for gasoline bought to the customer with the device) provides The two largest geographical markets from partner gas stati ons replaces the opportuniti es for a lower marginal cost in the world where Telemati cs has been premium discount concept.

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.35 The Indian market is sti ll at a nascent unique in the sense that in India, today, stage when it comes to insurers coming we insure the vehicle and not the driver. out with an off er for Telemati cs on a large However, the complete value propositi on scale, though there have been some on of a Telemati cs based off ering needs to Solving and off experiments by some insurance include not just vehicle diagnosti cs, but carriers. From a manufacturer’s(s) also behavioural aspects of the driver as ddresses in India are an enigma standpoint, OEMs such as Honda have well as their driving patt erns. – it is highly non-standard, come up with a Telemati cs device off ering A unstructured and non- Finally, my belief is that the Telemati cs hierarchical. Add to that there are streets called Honda Connect (working with UNO and UBI market in India is at a very Minda), which is getti ng off ered to all new with no names or unstructured addresses, interesti ng juncti on and will take a sharp and slum-like areas that change Honda Cars, though the jury is sti ll not turn with many Insurers, Insuretechs and out on how much interest it is generati ng frequently, as well as most of its 600,000 OEMs entering it in a big way. Only ti me villages are not street addressable. amongst car buyers. will tell who will do well in this space The luxury segment (cars beyond Rs 20 and who will not. But I can forecast that The way address in writt en in India also lakh) already has some of these devices whoever gets the ‘Connected Ecosystem’ adds to the challenge. Figure 1 shows (in some shape or form), although they right and makes the Customer Value the variety – everything from a person’s may or may not be connected to the propositi on strong, will defi nitely have an name, building’s name, points of interest right ecosystem to provide value to the edge over the others. and even a workfl ow containing directi on vehicle owner. The Indian market is also to the approximate locati on of the house is considered an acceptable way of writi ng an address. The ambiguity around addresses has NEWS large impact on the ti meliness and cost of delivery of a package in India. The World’s fi rst driverless shuttle service package delivery route has three broad The eastern French city of Lyon has become the world’s fi rst city to introduce driverless components, the “fi rst mile” where the shutt les for public transport. The driverless minibuses manufactured by the French fi rm package is picked up from the sellers Navya aft er a yearlong experiment to use the vehicle as a mode of daily transport by warehouse, the “line haul” where it is local residents. moved between citi es (usually by air or truck), and the “last mile” where the bike The two vehicles launched by the company are fi tt ed with high-tech equipment riding delivery personnel (called “Field including laser sensors, stereo vision and GPS, can ferry around 15 passengers at a top Executi ves” or FEs) deliver the package to speed of 20 kilometres an hour. The vehicles have been tested without passengers in one’s house. other French citi es and in Switzerland, and a trial is under way in Dubai, using a bus developed with the help of a French company. The ambiguity around addresses forces Costi ng 200,000 euros (USD 225,000) a piece, the prototype of this electric vehicle was the FEs to stop at various locati ons on tested in the year 2013. In Lyon, the 4-metre-long buses att racted curious onlookers route, either to ask local people for who took ‘selfi es’ beside the vehicles, which allow passengers to stand at the front and locati on or directi ons to a parti cular enjoy the journey from a “driver’s eye view”. apartment complex. In case of a new address or landmark that the address refers to, FEs someti mes have to call the recipient to get directi ons, or in the worst case, postpone delivering unti l the recipient calls back to clarify address and provide directi ons. Key reasons for delivery delay or misroute: There are many reasons packages get delayed or misrouted in India. Typical issues are: → Wrong Pin Codes are writt en in 20- 30% of addresses. This rati o is typically higher in smaller towns or areas that are growing rapidly. For example, most people in Gurgaon, Haryana use 122001 as their Pin code → Multi ple localiti es with the same name in a city. For example there are three “Rathtala”s in Kolkata. Combine that with wrong Pin code and fi guring out the correct locality becomes

PG.36 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net India’s Address Enigma

Person’s Name c/o S Bhatt acharya, 111Goshala Road, Mahadevpura, Bangalore 560048 Building’s Name 146-B Purva Appt, Old Airport Road, Bangalore 560035 Street Name 20K, Ohakuria Stati on Road, Dhakuria PS: Jadavpur, Kolkata 700031 Points of Interest (P01) Internati onal Pvt. Ltd., Near Payal Cinema Complex, Gurgaon 122001 Address or Workfl ow? Near Kaman Chowmuni, East Side, Fourth Gali, near medical shop Figure 1. Varia on on how addresses are wri en in India diffi cult address → Localiti es included in the name of Benefi t of solving this problem: Dr. Santanu Bhatt acharya roads. This is true for a long stretch of Comparati vely, logisti cs cost in India is far SVP-Technology road which exists in a city. The “Outer higher than western countries; not being Ring Road (ORR)” in Bangalore is a able to resolve address in the “last mile” Delhivery circular road around the city and to adds signifi cantly to that cost. Typically in He is an industry expert in Big Data Analy cs, Mobile and Social Products & Technology who has provide a bett er coordinate, users use the western countries, the last mile cost been covered in Forbes, TechCrunch, Mashable and name such as “Sarjapur Marathalli of logisti cs is 7-8% of the total delivery Economic Times etc. He currently leads Data Sciences at Indian eCommerce Logis cs leader Delhivery. ORR” to indicate that it is the part of cost, while in India it is in the ~25% range. An alumnus of MIT’s Sloan School of Management, the road that passes between the If we can resolve the addresses to a PhD from NASA/ Univ. of Maryland and B-Tech from areas of Sarjapur and Marathahalli” reasonable resoluti on, say, to 500 meters, Indian Ins tute of Technology. → Similar sounding areas in the same a signifi cant ti me and cost would be saved provides us with bett er disambiguati on of locality, combine with poor spelling in the delivery, bringing down the overall addresses than ANY off -the-shelf mapping skills, e.g., “Amrit Nagar” vs. “Amrut cost of the logisti cs by 8-15%. Advising technology available for India. Nagar” in Mumbai our fi eld executi ves on the most effi cient routes for delivery is a prime example of Technically, Delhivery’s AddFix™ is a → Misspelling and poor language skills. where we need to build an effi cient way geocoder service which is currently For example, “beside” can mean to determine address. working at a locality level. It cleanses anything from “next to” to “in the input addresses and returns details such How are we solving this problem: general neighbourhood of” of a as locality, sub-locality and pin-codes, An in-house second generati on machine- locati on with lati tude and longitudes. If the pin- learning address resolving system, code generated by the algorithm does → Multi ple localiti es in a single address. AddFix™, enables us to correctly identi fy not match the pin-code writt en by the The address 1144 “Sbbj bank nagar” a locality with over 98% accuracy, customer, it returns a list of the correct “sanganer” Jaipur, contains name signifi cantly speeding up package pin-codes for that parti cular locality. of two diff erent localiti es in same deliveries. Currently, this technology There are multi ple data sources that contribute to AddFix: Third Party sources such Open Street Map (SOM) and Google cover 20-40 % for an Indian city. This is augmented by historical address from our past deliveries, now nearing 100 million addresses. Sellers Pickup Origin Warehouse Center Hub The soluti on targets to cover 95% of the localiti es in a city. By Diwali (October The “Last Mile” Desti nati on 2016) it will cover the top 150 Indian Hub citi es where over 90% of eCommerce shipments in India take place. Our longer term goal includes building a “real”, searchable map of India comprising Delivery Shoppers 25-30% of of POI data, weather and traffi c, so as to Center Home The Total Cost provide “realisti c” directi ons to people in a format familiar to them. Figure 2: Address ambiguity leads to high “last mile” cost of delivery in India

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.37 NEWS

Embedded Infrastructure Ford promises to mass produce fully autonomous cost Design Complexity cars by 2021

ti on & VAVE

Connected systems consolida

Data Volume & Power

Consump

Costs ti vity & Deployment ti on

Connec Reliability, Robustness of CC Ford plans to launch fully autonomous cars by the year 2021. It is sub-systems doing so by doubling the investment in its research centre in the Cooperati ve Connected Car (CC) sub-systems city, and make sizable investments in technology companies in the Synchronized and Cooperati ve Connected Car (CC) sub-systems autonomy industry. Challenges during Coopera ve & Synchronized CC Phases The planned vehicle will hold a Level 4 Society of Automoti ve Engineers (SEA) autonomous vehicle rati ng. According to the SAE’s might be complex as it requires high bandwidth and less rati ng scheme, the vehicle will have full control over executi on of latency to ensure accuracy and synchronizati on of the steering and accelerati on, monitoring of its driving environment and resultant data to ensure the highest degree of safety. Thus, fall back performance of dynamic driving tasks. effi cient predicti ve algorithms, advanced fusion techniques and implementati on of 5G would be the catalyzing agents Government in China bans testing of for this phase. self-driving cars To summarize, major soft ware catalyzing agents include The automoti ve industry in China is not so keen for allowing self-drive advanced methodologies for OTA data transfer, accurate testi ng on highways. The industry is planning to ti e up with police to data fusion and predicti ve algorithms. As there is a introduce new rules & regulati ons to curb down the autonomous car possibility of shuffl ing functi onaliti es during systems level testi ng. A draft has been launched by the government, which is of integrati on at diff erent phases, a platf orm independent the preliminary regulati ons.This step has been taken by the Chinese modular architecture is highly recommended to provide government aft er this year’s Tesla fatal crash. fl exibility and improvise effi ciency. Measures are now being taken in order to legalize autonomous Subsequently soft ware functi onal and deployment vehicles that will appear on China’s highways in three to fi ve years, effi ciency would becomethe key for the success for the and then in Chinese citi es by 2025. implementati on of connected cars. The basic embedded infrastructure (ECUs with enhanced soft ware architecture, Global automotive telematics market to reach sensors, communicati on systems etc.) will serve as a $55.97 billion by 2022 foundati on for cooperati ve connected systems and all The global automoti ve telemati cs market is esti mated to reach the innovati ve connected features would emerge from $55.97 billion by 2022 at a CAGR of 21% between 2016 and 2022, the analyti cal integrati on and feature consolidati on of according to Research & Markets.Growing awareness about driver soft ware systems. Tata Elxsi, having experience in all these safety, decreasing cost of connecti vity, increasing market penetrati on technologies is well placed to develop and implement these rate of smartphones, and stringent automoti ve safety regulati ons are catalyzing soluti ons. some of the reasons fuelling the market growth. However, certain The two major challenges that industry may face during constraints such as increasing hacking/privacy concerns, lack of these phases include ‘Embedded infrastructure costs’ and cellular coverage, and low awareness about telemati cs can hamper its ‘Connecti vity & deployment costs’. ADAS and V2X are the overall growth. major contributors for the former, while V2X infrastructure and incorporati on of 5G being the major contributors ‘My Mercedes-My Service’ program by for the latt er. There is a strong need for the various Mercedes-Benz stakeholders to work out a resoluti on to miti gate these Mercedes Benz has introduced My Mercedes My Service programme costs, with innovati ve technical service organizati ons having for its customers, which comprises initi ati ves like Digital Service Drive, a considerable role in achieving this. Premier Express Service and innovati ve Service Products.The Digital Clear regulatory compliance requirements at each phase of Service Drive is an initi ati ve off ering transparency, convenience and this journey can help various automoti ve stakeholders to ti me saving measures to customers of the brand. The key objecti ve ensure step by step progress to facilitate various connected of launching this platf orm is to enhance the ownership experience car services. It also helps saving on monitory side by having of the customer resulti ng in brand loyalty. This initi ati ve also aims to right plan of executi on. strengthen overall operati onal effi ciency and reduce turnaround ti me for the customer.

PG.40 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net NEWS

WhatsApp co-founder invests in Trak N Tell to introduce Mobileye to end deal with connected cars in India Tesla for future self-driving cars AmnonShashua, CTO of Mobileye has declared plans to end the company’s relati onship with Tesla Motor. Most of the semi-autonomous models of Tesla have implemented Mobileye’s EyeQ system- on-a-chip. Mobileye said that its work with Tesla will not extend past the EyeQ3, the current technologies that are found in Tesla Model S and Model X electric vehicles. This announcement did not come as a surprise for the industry as merely a few months ago in May, a Tesla Model S was crashed when the driver switched the car to autopilot mode. On the other hand, Mobileye has steadily dominated its small corner in the automoti ve industry. The technology—vision chips and soft ware introduced by the company interprets In a new round of funding from a group of investors, led by WhatsApp cofounder data from a camera to anti cipate possible Brian Acton, Trak N Tell- a Gurgaon-based car tracking telemati cs soluti ons startup has collisions with cars, people, animals, and received an undisclosed sum of funding. This move is a strategic step into the evoluti on other objects. of connected cars in India. The companies have invested in about $3.5 million (Rs 23.3 crore) in the nine-year-old venture. This is the fi rst investment for Brian Acton in India. Royace Eye signs pact with With this step, Trak N Tell has plans to expand its services in diff erent citi es across ITI to make vehicle security the country. The company provides vehicle tracking for predicti ve engine failure &preventi ve maintenance noti fi cati on, fuel monitoring system and more. devices in India Royace Eye Industries has collaborated Novus Drive becomes India’s fi rst driverless shuttle with a public sector undertaking (PSU) Indian Telephone Industries Limited (ITI Limited). This has been done to locally manufacture security devices for the Indian market such as Vehicle Security Soluti ons, GPS Tracking Devices and Sports Camera.The partnership would set ground, that would support both fi rms to manufacture products under Make in India Project and will cater to the market of Smart surveillance and security devices and IoT based products in commercial and public sectors. The government has approved Rs Velodyne LiDAR has provided its HDL-32E real-ti me 3D LiDAR sensor to Hi-Tech Roboti c 4,156.79 crore to upgrade infrastructure Systemz, a company, which has developed the 14-seat Novus Drive autonomous of ITI for its revival. The funds are to be vehicle.The Novus Drive achieves full autonomy through its on-board 32-channel released in two phases, consisti ng of Velodyne LiDAR sensor, stereo vision cameras, GPS inerti al navigati on system, and Rs 1,892.79 crore as grants-in-aid for machine-driven algorithms for path planning and obstacle detecti on/avoidance. The payment of statutory liabiliti es and Rs vehicle is the fi rst of its kind manufactured in India. 2,264 crore as capex. Royace Eye signs pact with ITI to make vehicle security devices in India Telit has entered into a defi niti ve partnership with Tech Mahindra on developing complete soluti ons for the Internet of Things (IoT). The relati onship is centered on combining and integrati ng Telit’s portf olio of IoT products and services with Tech Mahindra’s system integrati on experti se and strengths in developing end-to-end enterprise soluti ons. Both companies are also jointly pursuing new business opportuniti es across many markets and industries, such as IoT horizontal and Industrial IoT around the world. Additi onally, Telit has reached an agreement to outsource related engineering development and testi ng acti viti es to Tech Mahindra.

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.41 NEWS

Parker – NVIDIA’s processor for autonomous vehicles MyHyundai App for Vehicle Management

NVIDIA has released the architecture and underlying technology of its new proces- sor- Parker, which is suited for automoti ve applicati ons like self-driving cars and digital cockpits. Parker will support features important to the automoti ve market such as deep learning, hardware-level virtualizati on for ti ghter design integrati on, a hardware-based safety engine for reliable fault detecti on and error processing, and feature-rich IO ports for automoti ve integrati on. Built around NVIDIA’s Pascal GPU architecture and Denver CPU architecture, Parker delivers up to 1.5 terafl ops of performance for deep learning-based self-driving AI cockpit systems. Parker delivers 50 to 100 percent higher multi -core CPU performance than other mobile processors. This is due to its CPU aarchitecture consisti ng of two next-generati on 64-bit Denver CPU cores (Denver 2.0) paired with four 64-bit ARM Cortex A57 CPUs. A new 256-core Pascal GPU in Parker delivers the performance needed to run advanced deep learning inference algorithms for self-driving capabiliti es. Parker is architected to support both decode and encode of video streams up to 4K resoluti on at 60 frames per second. Hyundai’s new app called MyHyundai Fiat Chrysler joins the bug bounty program with Blue Link integrates services currently available in the previously separate Blue Link and Car Care mobile apps. The app makes it even easier for customers to access Blue Link remote start, schedule service, get vehicle diagnosti cs and view how-to videos similar to how they can use the MyHyundai.com owner website. The inclusion of Blue Link remote and Assurance Car Care features into the MyHyundai makes vehicle management and ownership seamless.

China forms committee to protect cyber security China is forming a committ ee to ensure Fiat Chrysler is off ering $150 to $1,500 to people who spot soft ware bugs and report the safe running of intelligent, connected them so they can be fi xed. The size of the reward depends on how criti cal the bug is and electric cars on roads. The commit- and how many vehicles it aff ects. Fiat Chrysler has turned to Bugcrowd to tap into the tee is headed by Li Jun, a member of the collecti ve creati vity of our 30,000+ security researchers, as well as those who aren’t yet Chinese Academy of Engineering and members of the Bugcrowd community. technical chief of FAW Group Corporati on. The step has been introduced about a year aft er two ethical hackers were able to In order to further intensify this subject, control a Jeep Cherokee remotely with a laptop through loopholes in the vehicle’s various automakers have partnered with radio. The hack touched off recall of 1.4 million vehicles made by FCA including Internet companies to ensure that their Cherokees in order to patch soft ware holes. vehicles are free from cyber intrusion.

PG.42 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net NEWS

Argus cyber protection for connected cars Cloud based information Argus Cyber Security suites of products and services delivering end-to-end security for services by HERE connected cars. Includes following features: → Connecti vity Protecti on: It defends the infotainment or telemati cs units by preventi ng malware installati on, detecti ng operati ng system (OS) anomalies, isolati ng suspicious applicati ons, and stopping att acks from spreading to the in-vehicle network. In additi on, this suite secures the two-way communicati on channel with the outside world. → In-Vehicle Network Protecti on: It provides in-vehicle network-wide security by detecti ng att acks, suspicious acti vity, and changes in standard in-vehicle network behaviour. → ECU Protecti on: The ECU protecti on reinforces select ECUs such as brakes, ADAS, or any other units deemed criti cal, from att acks originati ng inside and outside the ECU. HERE has added three new cloud based informati on services to its portf olio Enabling fl eet management with DIRECTOR by Teletrac Navman that provide drivers pre-departure traffi c informati on, personalized fuel and parking recommendati ons based on their preferences and habits. HERE Departure Alert and HERE Personal Recommendati ons join the suite of HERE Automoti ve Services that seamlessly deliver advanced content to drivers via connected embedded navigati on systems. → HERE Departure Alert proacti vely displays traffi c conditi ons on the most common routes a driver takes. The service learns travel patt erns – based on desti nati ons, routes, ti me and locati on – and combines the informati on with HERE Real-Time Traffi c to aid decision-making at the start of a trip. → HERE Personal Fuel Recommendati ons learns the fuel Teletrac Navman’s DIRECTOR platf orm tracks assets and collects data to meet a range preferences of the driver and provides of business needs and to drive producti vity for customers. Off ering fuel use tracking, ti mely recommendati ons. messaging and routi ng, along with driver behaviour analysis tools and concise reporti ng → HERE Personal Parking features, DIRECTOR helps businesses reduce operati ng costs. Its signature safety Recommendati ons provides off -street module, called Safety Analyti cs, scores driver performance based on company prioriti es parking facility recommendati ons and replays unsafe driving events to aid driver training. The dashboards accumulate when the vehicle is within 1 km of the informati on to show trends that would otherwise go unseen, giving companies the desti nati on, or around the driver’s insight they need to succeed. locati on when a desti nati on is not entered.

AAA tests reveal automatic emergency braking systems vary signifi cantly Automati c emergency braking systems — the safety technology that will soon be standard equipment on 99 percent of vehicles — vary widely in design and performance. All the systems tested by AAA are designed to apply the brakes when a driver fails to engage, however, those that are designed to prevent crashes reduced vehicle speeds by nearly twice that of those designed to lessen crash severity. While any reducti on in speed off ers a signifi cant safety benefi t to drivers, AAA warns that automati c braking systems are not all designed to prevent collisions and urges consumers to fully understand system limitati ons before getti ng behind the wheel. In partnership with the Automobile Club of Southern California’s Automoti ve Research Center, AAA evaluated fi ve 2016 model-year vehicles equipped with automati c emergency braking systems for performance within system limitati ons and in real-world driving scenarios.

www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.43 Bits & Bytes Mergers & Alliances

GNSS (Global Navigati on Satellite System, → Uber acquires Ott o, a tech startup in that includes GPS, GLONASS among transportati o others) and High Defi niti on Maps. → Hyundai’s turn to develop self-driving Self-drive car is a symphony on-wheels cars, in talks to partner with Google orchestrated by complex algorithms → Volvo & Uber sign pact to jointly coupled with soft ware code. Around 200 develop self-driving cars in Pitt sburgh million lines of code is required to build a top class luxury car today, the self-drive → Ford & Baidu investi ng $75 million in car will augment this even further. autonomous vehicle sensor company Asynchronous data from the sensors is Velodyne LiDAR analysed using algorithms and response → Panasonic acquired all shares is executed using actuators. Real-ti me HD of German soft ware company maps are visualised on-the-go using Lidar, OpenSynergy Radar and cameras. Access to GNSS via → HARMAN and AT&T ti e up for next- Magesh Srinivasan the navigati on system module provides generati on car connecti vity locati on co-ordinates while in moti on. Global Sales Director - Connected Car → Uber merges with China’s ride-hailing HCL Technologies V2X platf orm enables data fl ow from the road infrastructure such as traffi c signals, giant DidiChuxing intersecti ons, tolls and parking areas. → Wunelli to introduce insurance ‘Autonomous Drive = Self Drive’ is the new Direct Short Range Communicati ons telemati cs products with Vodafone buzz word all over media in recent ti mes. (DSRC) allows self-drive cars to talk to → HARMAN joins Auto-ISAC to work on Uber partners with Volvo to accelerate each other. DSRC in combinati on with automoti ve cybersecurity their self-drive project, Google Car claims all other technologies described above 1.5 million miles of self-driving and → Singapore startupnuTonomy partners prevent collisions and accidents. Apple’s ‘iCar’ project is on stealth mode, with LTA for self-driving trials The key to success of self-drive cars, may yet it has anesti mated R&D budget of $10 → Verizon expands its telemati cs base, not, fully lie with engineers. We have to billion. acquires Fleetmati cs also consider, deeply, social factors. In However, the key questi on is: will it ever some scenarios, self-drive will empower → Deutsche Telekom brings internet be possible to have a car that drives itself? various secti ons of our society with into BMW ConnectedDrive Read on. greater mobility, for e.g. people with → TomTom Telemati cs & Sage join Nature has insti lled human beings with special needs and the elderly of our hands for fl eet management ‘awareness’ via sensory percepti on. Our society. → Honda & Soft bank are ready to gift , coupled with our ability to learn Smart Citi es of the future, will prefer conti nuously from our environment, launch roboti c technology cars self-drive vehicles to those driven by us. defi nes our adaptability and survival. → Samsung Electronics invests This is because, Smart City communicati on These self-driving cars, in the making, are in automaker BYD to develop infrastructure will rely on data fl ow among being equipped with ‘sensor data fusion’ connected cars all ‘intelligent devices’ and ‘self-drive and ‘V2X’ technologies to enable full → Ford makes a move in 3D mapping vehicles’. Steering wheel drive will be seen autonomy. Sensor data fusion equips the as an anomaly by the Smart City system. technology, invests in Civil Maps self-drive car with a sensory mechanism Owning and driving such cars will be seen → Harman partners with NXP and ‘V2X’ technology enables conti nuous as a super luxury sport just as it is to own Semiconductors for secure OTA communicati on between the self-driving and ride a stallion today. updates car and the road infrastructure, seamlessly Its ironical that the inventi on of the petrol connected via telecom network. → Sierra Wireless & PATEO collaborate engine automobile in 1886, eliminated A typical prototype of a self-drive car or for Geely automoti ve vehicles the horse from the carriage and the self- truck is equipped with: sensors, LIDAR drive car will eliminate the ‘driver’ from (laser image detecti on and ranging), radar the carriage, perhaps in 2023. Welcome (radio detecti on and ranging), cameras, self-drive!

NEWS Mobileye and Delphi tie up for SAE level 4/5 automated driving solution for 2019 Automati c emergency braking systems — the safety technology that will soon be standard equipment on 99 percent of vehicles — vary widely in design and performance. All the systems tested by AAA are designed to apply the brakes when a driver fails to engage, however, those that are designed to prevent crashes reduced vehicle speeds by nearly twice that of those designed to lessen crash severity. While any reducti on in speed off ers a signifi cant safety benefi t to drivers, AAA warns that automati c braking systems are not all designed to prevent collisions and urges consumers to fully understand system limitati ons before getti ng behind the wheel. In partnership with the Automobile Club of Southern California’s Automoti ve Research Center, AAA evaluated fi ve 2016 model-year vehicles equipped with automati c emergency braking systems for performance within system limitati ons and in real-world driving scenarios.

PG.44 | Smart Automoti ve | Sept - Oct 2016 www.telemati cswire.net www.telemati cswire.net Sept - Oct 2016 | Smart Automoti ve | PG.45 International Updates News & Updates India Updates

• SpireonSkyLink enables car dealers to cybersecurity best practi ce guide → Mahindra would like to pioneer a tap connected car market • Ford expands its Android Auto driverless tractor • nuTonomy launches fi rst driverless services to all 2017 vehicles → Scorpion Express, LogiNext partner to taxi on the streets of Singapore • Self-driving bus by Mercedes-Benz opti mize operati ons using telemati cs • Lexus to off er Scout GPS Link by completes its fi rst 12-mile trip → Microchip & Amazon Web Services Telenav • Vehicle automati on to increase traffi c release security soluti on for IoT • Omnitracs launches FleetScience congesti on: HERE & SBD devices Digital Hub for transportati on and • Germany: Black box to be made → Carzonrent set to invest Rs 400 crore, logisti cs industry mandatory in autonomous cars eyes 5k-crore revenue by 2021 • Advanced auto safety and • Drivers asking to link insurance → Volkswagen sets up IT services arm in convenience technology draw premiums with driving behaviour Pune, invests 3 million euros growing interest from tech-savvy • Toyota joins The Linux Foundati on as → Motherson Sumi to raise Rs 3500 consumers a gold member crore, receives investment from • BQR fi Xtress opti mizes schemati c • Car Connecti vity Consorti um Sumitomo testi ng in ADAS for Mobileye launches MirrorLink technology → Rollr launches unifi ed IoT telemati cs • HellaGutmann soluti on- all round center in China platf orm for connected driving vision tool • Autonomous cars driving the market → Skoda Auto set to invest Rs 100 crore • Autonomous car sensor for new insurance services in UBI in India startupQuanergy raises $90 million • Tesla not keen to disable autopilot → Bosch to manufacture two-wheeler • Truck platooning to boost global feature in its cars ABS in India from 2017 commercial vehicle ADAS market • Conti nental forays into Asian market → General Motors is re-evaluati ng its $1 • Zubie unveils its new range of fl eet with new ADAS business unit billion investment plan in India management & in-vehicle Wi-Fi • Baidu and Nvidia team up to work on → Porsche looking to expand its soluti ons arti fi cial intelligence for self-driving presence in Indian auto market • Innovati on and technology are car → Cab aggregator Wiwigo raises 4 crore driving the future of personal • LG’s connected car soluti ons to be in new round of funding mobility powered with Skyworks → JBM Solaris to introduce electric • Octo Telemati cs joins initi ati ve for • Spireon SkyLink enables car dealers buses in India, invests Rs 300 crore tax relief on telemati cs for younger to tap connected car market → Visteon completes acquisiti on of drivers • Mercedes & Microsoft working AllGo Embedded Systems • GM-owned Cruise Automati on tests together to launch connected offi ce → Meru Cabs raises $25 million in new autonomous Chevy Bolt in Arizona in cars round of funding from Brand Capital • Toyota invests $22 million at • Omnitracs launches FleetScience → Sun Telemati cs raises Pre Series A University of Michigan for Digital Hub for transportati on and funding from angel investors → Logisti cs IoT startup Locanix raises autonomous driving logisti cs industry INR 2 crore in new round of funding • Global commercial telemati cs market • Verizon expands its telemati cs base, → Bosch invests in revamping its to value USD 55.14 billion by 2021 acquires Fleetmati cs research facility in Bengaluru • IoT platf orm revenues to grow € 3 • Omnitracs launches asset → Andhra Pradesh: Traffi c violati on & billion worldwide by 2021 management soluti on for vehicle off ences may become available in • Israel based autonomous vehicle tracking public domain startupInnoviz secures $9M in • ABAX expands its footprint with a → Sugar mills in Maharshtra benefi ts funding new offi ce in China from usage of telemati cs • Allstate launches stand-alone • Automoti ve fuel delivery system → Lane departure warning system telemati cs unit, Arity market to grow with automobile market to grow at a CAGR of 28.67% • Connected car startup Automile demands → Connected car ecosystem market to raises $6.2 million • Azuga plans to expand its operati ons be driven by ADAS & autonomous • Rohde & Schwarz unveils its new in 10 countries driving signal analyzer R&S FSW85 • TATA Elxsi picks SOASTA for → Microchip adds dual-mode bluetooth • Automakers publish fi rst connected car Initi ati ve audio products to its portf olio

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