Scenarios for Autonomous Vehicles – Opportunities and Risks for Transport Companies
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Development & Policy Forecast for Global and Chinese NEV Markets
Development & Policy Forecast for Global and Chinese NEV Markets in 2021 Invited by China EV 100, officials and experts from domestic and foreign government agencies, industry associations, research institutions and businesses attended the 7th China EV 100 Forum in January 15-17, 2021. The summary below captures the observations and insight of the speakers at the forum on the industry trend and policy forecast in the world and China in 2021. Ⅰ. 2021 Global & China Auto Market Trend 1. In 2021, the global auto market may resume growth, and the NEV boom is set to continue. 2020 saw a prevalent downturn of the auto sector in major countries due to the onslaught of COVID-19, yet the sales of NEVs witnessed a spike despite the odds, with much greater penetration in various countries. The monthly penetration of electric vehicles in Germany jumped from 7% to 20% in half a year and is expected to hit 12% in 2020, up 220% year on year; Norway reported an 80% market share of EVs in November, which is projected to exceed 70% for the whole year, topping the global ranking. Multiple consultancy firms foresee a comeback of global sales growth and a continuance of NEV boom in 2021 as coronavirus eases. 2. China's auto market as a whole is expected to remain stable in 2021, 1 with a strong boost in NEV sales. In 2020, China spearheaded global NEV market growth with record sales of 1.367 million units. The Development Research Center of the State Council expects overall auto sales to grow slightly in 2021, which ranges 0-2%. -
ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) JUNE 2019 a Guide to Advanced Driver Assistance Systems
ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) JUNE 2019 A Guide to Advanced Driver Assistance Systems As technology becomes more advanced, a growing number of vehicles are being built with intelligent systems to help motorists. Advanced Driver Assistance Systems, or ADAS, is a term used to describe these smart features. ADAS includes relatively simple features like rear view cameras to help with parking through to more complicated systems like Lane Departure Warning (LDW) that can detect a vehicle’s surroundings. These advanced systems can actually take some control of the vehicle, such as Autonomous Emergency Braking (AEB). In this guide, we describe the ADAS technology available and their benefits, which could be useful when you and your drivers are selecting your next vehicle. What is ADAS? Whether your car has adaptive high beams, a collision detection system or autonomous night vision, these are all classed as Advanced Driver Assistance Systems (ADAS). If you and your drivers understand what these smart features are and what they do, you can get the most benefit from them, improving your driving experience and making other road users safer. Please be aware that the information in this guide is correct as at June 2019 but things move fast in this area. 1 A guide to advanced driver assistance systems Light Assisted Technology AFLS - Adaptive Front Lighting System System that automatically turns the headlight beam to the right or left dependent on the vehicle’s direction. AHBC – Adaptive High Beam Control ALC - Adaptive Light Control Detects oncoming traffic and vehicles in front, automatically adjusting the headlamp beam high and low. -
Human Centred Design of First and Last Mile Mobility Vehicles
Coventry University DOCTOR OF PHILOSOPHY Human centred design of first and last mile mobility vehicles Wasser, Joscha Award date: 2020 Awarding institution: Coventry University Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of this thesis for personal non-commercial research or study • This thesis cannot be reproduced or quoted extensively from without first obtaining permission from the copyright holder(s) • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 11. Oct. 2021 Human Centred Design of First and Last Mile Mobility Vehicles by 1,2,4 Joscha Wasser A thesis submitted in partial fulfilment of the University’s requirements for the Degree of Doctor of Philosophy. Supervisors: Andrew Parkes1, Cyriel Diels3, Michael Tovey1 and Anthony Baxendale2 1 The National Transport Design Centre, Swift Road, Coventry CV1 2TT, UK 2 HORIBA MIRA Ltd, Watling Street, Nuneaton, Warwickshire, CV10 0TU, UK 3 Royal College of Art, Kensington Gore, Kensington, London SW7 2EU, UK 4 Fraunhofer FKIE, Fraunhoferstraße 20, 53343 Wachtberg, Germany Content removed on data protection grounds 2 3 4 5 6 Content removed on data protection grounds 7 Content removed on data protection grounds 8 Content removed on data protection grounds 9 10 Acknowledgements I would like to express my sincere gratitude to Dr. -
Paving the Way to Self-Driving Cars with ADAS (Rev. A)
Paving the way to self-driving cars with advanced driver assistance systems Hannes Estl Worldwide Systems Marketing for Advanced Driver Assistance Systems (ADAS), Texas Instruments Recent publicity has attracted the public eye to the development of automated vehicles, especially Google’s experimental cars that have logged thousands of self-driven miles with minimal help from human drivers. These events are truly impressive, and in the long term will help revolutionize vehicle operation and our experience of driving. But the excitement about self-driving cars can make it easy to overlook numerous short-term developments by automotive manufacturers that are equally important in transforming the act of driving. Collectively known as Advanced Driver Assistance Systems (ADAS), these developments are designed to make cars safer, and their gradual introduction is already improving road safety. In addition, ADAS features represent an evolution in vehicle sensing, intelligence and control that will ultimately lead to self-driving cars. ADAS technologies exist at different levels of active Volume production of automobiles with fully assistance and are being introduced in overlapping autonomous control is probably a decade away stages. Driver information systems, such as simple at this time, although as today’s experiments rear-view cameras, surround-view displays, and demonstrate, the essential technology for self- blind spot and lane departure warnings, provide driving cars already exists. However, advanced information but leave the driver in full control at all electronic systems take up much of the space in times. Partially autonomous systems, such as lane- automated test vehicles and are far more expensive keep assistance and active cruise control, enable than the cars themselves. -
MG Gloster, a Premium SUV Owner Will Be Introduced to Level-1 ADAS and Enable the Intelligent Human-Machine Interface
INDIA’S FIRST AUTONOMOUS LEVEL-1 * PREMIUM SUV WITH *Advanced Driver Assistance System (ADAS) is not a substitute for human eye and driver vigilance, it is a driver assist system that enhances driving experience and safety. The driver shall remain responsible for safe, vigilant and attentive driving. WHAT IS AND HOW DOES IT WORK? Almost all vehicle accidents are caused by human error, which can be reduced to an extend with the Advanced Driver Assistance System also known as ADAS*. ADAS is a group of safety and convenience functions intended to improve comfort for drivers and road safety and, preventing or reducing the severity of potential accidents. ADAS can do all this by alerting the driver, implementing possible safeguards in the vehicle & automating driving controls (based on the driving automation level of the vehicle). While Autonomous Level-5 denotes the global future dream of completely driverless cars, Level-1 acts as a driver assitant and the vehicle is dependent on the driver to monitor the driving environment and conditions. The Level-1 ADAS enhances your driving experience and makes it safer, more comfortable and more convenient. With MG Gloster, a premium SUV owner will be introduced to Level-1 ADAS and enable the intelligent human-machine interface. ADAPTIVE CRUISE CONTROL (ACC) Adaptive Cruise Control, also known as ACC is an advanced version of cruise control, particularly 80km/hr 80km/hr helpful for long drives as it senses the road ahead and enables the vehicle to control its acceleration and braking to achieve desired speed but also maintain safe distance from cars ahead. -
Driver Assistance Technologies Pradip Kumar Sarkar
Chapter Driver Assistance Technologies Pradip Kumar Sarkar Abstract Topic: Driver Assistance Technology is emerging as new driving technology popularly known as ADAS. It is supported with Adaptive Cruise Control, Automatic Emergency Brake, blind spot monitoring, lane change assistance, and forward col- lision warnings etc. It is an important platform to integrate these multiple applica- tions by using data from multifunction sensors, cameras, radars, lidars etc. and send command to plural actuators, engine, brake, steering etc. ADAS technology can detect some objects, do basic classification, alert the driver of hazardous road conditions, and in some cases, slow or stop the vehicle. The architecture of the elec- tronic control units (ECUs) is responsible for executing advanced driver assistance systems (ADAS) in vehicle which is changing as per its response during the process of driving. Automotive system architecture integrates multiple applications into ADAS ECUs that serve multiple sensors for their functions. Hardware architecture of ADAS and autonomous driving, includes automotive Ethernet, TSN, Ethernet switch and gateway, and domain controller while Software architecture of ADAS and autonomous driving, including AUTOSAR Classic and Adaptive, ROS 2.0 and QNX. This chapter explains the functioning of Assistance Driving Technology with the help of its architecture and various types of sensors. Keywords: sensors, ADAS architecture, levels, technologies 1. Introduction In order to enhance road safety as well as to satisfy increasingly stringent government regulations in western countries, automobile makers are confronted with incorporating a range of diverse technologies for driver assistance to their new model. These technologies help drivers to avoid accidents, both at high speeds and for backward movement for parking. -
Industry Ponders Natural Gas Applications
160 years of innovation theengineer.co.uk March 2016 | £3.70 FIRST FOR TECHNOLOGY & INNOVATION Fossil future Industry ponders natural gas applications N • 1 O 6 I 0 T Y A E V A O R N S N I O F & E G N N G I I R N E E Mono mania Taking aim Space spin-off How a Liverpool-based SME HVM Catapult technology Ultrasound technology is leaving bigger supercar chief Dr Phill Cartwright developed to monitor manufacturers outlines his vision for astronauts comes in its wake »31 the future »34 back down to Earth »49 58 »Careers feature Britain’s booming automotive sector has a pressing skills shortage TE_010316 1 02/03/2016 18:42 Your One-Stop Shop for Process Measurement and Control Products • 100,000 products online • Easy online ordering • Same day shipping on instock items • Full technical support Platinum Series Series High accuracy, fast responding,respo low cost temperature and process controllers Flow and Environmental Products Large selection of flow and environmental devices including handheld, ultrasonic, controllers and much more PXM309 series Available in absolute or gauge pressure and sealed to IP65 /IP67 We are here to serve you With our manufacturing know-how and extensive warehousing around the world, OMEGA offers the most impressive range of products in the industry. Probes and Assemblies Our sales representatives are able to swiftly dispatch For all environments and applications your order and provide instantaneous updates. At OMEGA, no request or order is too big or too small. omega.co.uk 0800 488 488 Temperature Pressure Automation Flow DAS pH Heaters [email protected] © COPYRIGHT 2015 OMEGA ENGINEERING,LTD. -
ADVANCED DRIVER ASSISTANCE TECHNOLOGY NAMES AAA’S Recommendation for Common Naming of Advanced Safety Systems
JANUARY 2019 ADVANCED DRIVER ASSISTANCE TECHNOLOGY NAMES AAA’s recommendation for common naming of advanced safety systems NewsRoom.AAA.com Advanced Driver Assistance Technology Names (this page intentionally left blank) © 2019 American Automobile Association, Inc. 2 Advanced Driver Assistance Technology Names Abstract Advanced Driver Assistance Systems have become increasingly prevalent on new vehicles. In fact, at least one ADAS feature is available on 92.7% of new vehicles available in the U.S. as of May 2018.1 Not only are these advanced driver assistance systems within financial reach of many new car consumers (about $1,950 for the average ADAS bundle2), they also have the potential to avoid or mitigate the severity of a crash. However, the terminology used to describe them varies widely and often seems to prioritize marketing over clarity. The lack of standardized names for automotive systems adds confusion for motorists when researching and using advanced safety systems. The intent of this paper is to create a dialog with the automotive industry, safety organizations and legislators about the need for common naming for advanced driver assistance systems. Within this report, AAA is proposing a set of standardized technology names for use in describing advanced safety systems. AAA acknowledges that this is a dynamic environment, and that further input from stakeholders and consumer research will further refine this recommendation. To date, automakers have devised their own branded technology names which, for example, has resulted in twenty unique names for adaptive cruise control and nineteen different names for lane keeping assistance (section 3.2) alone. A selection of these names is shown in Figure 1. -
Regulatory Landscape
REGULATORY LANDSCAPE: Regulation is one 12 of the major drivers of change within the automotive sector; changes happening at almost every level are forcing an evolution of the sector THE INNOVATION GAME: 34 David Moss, Nissan's Vice President, Vehicle Design and Development, discusses LCV innovation The UK automotive sector operates in a unique environment, with strategic alignment between industry and government support Ian Constance, While the internal combustion chief executive engine will remain part of the of the Advanced Propulsion Centre automotive ecosystem for some time to come, there is an increasing need to conserve fuel and minimise emissions lobal climate-change Europe. The UK automotive sector common technical interest. while maintaining compelling and air-quality operates in a unique environment, At the APC we have identified consumer propositions. agendas are driving with strategic alignment between a number of opportunity areas This is leading to increased rapid technological industry and government support. that align strong capability and electrification of the vehicle change within The UK combines world-leading good potential for growth in powertrain, which in turn the automotive research, world-renowned organisations operating in the UK is disrupting incumbent sector. This, in aptitude for innovation and with likely market demand. These supply chains, and providing turn, is creating world-class manufacturing provide the potential for the UK opportunities for organisations new opportunities productivity. to assert a strong future supply- willing to embrace change. globally, as Combining these advantages chain position, given suitable Organisations operating international, in a collaborative approach investment. Identifying these in the UK can build upon the national and local underpins the aims of the opportunities is a step towards advantages and capabilities regulations drive Advanced Propulsion Centre (APC) providing a foundation for further afforded by the British action on CO2 emissions and programme. -
Sustainable Mobility in Rural Areas Based on Autonomous Vehicles and Mobility On-Demand
Die approbierte Originalversion dieser Diplom-/ Masterarbeit ist in der Hauptbibliothek der Tech- nischen Universität Wien aufgestellt und zugänglich. MSc Program http://www.ub.tuwien.ac.at Environmental Technology & International Affairs The approved original version of this diploma or master thesis is available at the main library of the Vienna University of Technology. http://www.ub.tuwien.ac.at/eng Sustainable Mobility in Rural Areas based on Autonomous Vehicles and Mobility On-Demand A Pre-feasibility Study for Lower Austria A Master’s Thesis submitted for the degree of “Master of Science” supervised by em. Univ.-Prof. Dr. Günther Brauner Mag. (FH) Laura Beitz 1428134 Vienna, 05 June 2016 Affidavit I, LAURA BEITZ , hereby declare 1. that I am the sole author of the present Master’s Thesis, "SUSTAINABLE MOBILITY IN RURAL AREAS BASED ON AUTONOMOUS VEHICLES AND MOBILITY ON-DEMAND. A PRE- FEASIBILITY STUDY FOR LOWER AUSTRIA", 90 pages, bound, and that I have not used any source or tool other than those referenced or any other illicit aid or tool, and 2. that I have not prior to this date submitted this Master’s Thesis as an examination paper in any form in Austria or abroad. Vienna, 05.06.2016 Signature Abstract In the past century, private automobiles have shaped personal mobility by enabling fast and convenient point-to-point travel. However, this development is having a serious effect on the sustainable nature of our transport system. To transform personal transportation to a sustainable mobility system, two fields of research are currently receiving considerable attention: autonomous vehicles and mobility on-demand. -
Autonomous Vehicles Future: Driverless Cars
Executive Insights Volume XIX, Issue 58 Mapping the Road to Autonomous Vehicles There’s no doubt that over the long term, 3. Industrial: Discovering and organizing the right business autonomous vehicles (better known as self-driving model to produce a commercially viable product cars), combined with electrification and shared While these challenges are significant, they will eventually be overcome. The path forward on No. 3 in particular (creating mobility, will have a massive impact on society. a business model to produce a sellable product) is just becoming clear. Many pundits debate the extent and speed of the expected effects. Will autonomy act as a “lighter fluid” for the spread of shared mobility services? How soon will urban real estate Figure 1 developers be freed from the need to provide space for parking? SAE International’s definitions of automation levels for on-road vehicles What will the impact on logistics do to retail? We like to say that these potential long-term effects depend on • Level 0: No automation (full driver control) how we get “from 1 to 100” — that is, from the launch of self- • Level 1: Driver assistance (vehicle controls either driving cars to a day when autonomous mobility is ubiquitous. steering or speed under certain conditions) But while prognostication is fun, the map to that destination is still far from clear. • Level 2: Partial automation (vehicle controls both steering and speed under certain conditions) What is becoming clearer, however, is the first leg of the journey, • Level 3: Conditional automation (total vehicle control or how we get “from 0 to 1” — from where we are today to the with expected human intervention) successful commercialization of the first fully self-driving vehicle. -
Driving Changes: Automated Vehicles in Toronto
Driving Changes: Automated Vehicles in Toronto Discussion paper David Ticoll Distinguished Research Fellow Innovation Policy Lab Munk School of Global Affairs University of Toronto October 15, 2015 ii Mercedes-Benz F015 driverless concept car in San Francisco (Jordan 2015) Yonge Street looking north from Adelaide Street, 1929 (Taylor 2014) Yonge Street looking north from Adelaide Street, 1900 (Galbraith Photograph Company n.d.) Driving Changes: Automated Vehicles in Toronto iii Contents 1 ABOUT THIS PROJECT 1 2 DRIVING CHANGES: EXECUTIVE SUMMARY 3 3 TOPICS FOR CONSIDERATION 9 3.1 STRATEGIC PATHWAYS 9 3.2 TRANSPORTATION PLANNING 10 3.3 CITY PLANNING 11 3.4 INFRASTRUCTURE & TECHNOLOGY 11 3.5 REGULATION 12 3.6 ECONOMIC DEVELOPMENT 13 4 AUTOMATED VEHICLES: A PRIMER FOR POLICY MAKERS 14 4.1 THE IDEA IN BRIEF 14 4.2 SAE LEVELS OF AUTOMATION 14 4.3 COMPETING MODELS OF AV DEPLOYMENT 17 4.4 ADOPTION TIMING 18 4.5 2030S: THREE SCENARIOS 20 4.6 THE TRANSITION 22 4.7 URBAN AND SOCIAL TRENDS 22 5 BENEFITS OF AVS FOR TORONTO 23 5.1 SAFETY 23 5.2 EQUITY AND ACCESSIBILITY 25 5.3 ENVIRONMENT 27 5.4 OPERATING COSTS 28 5.5 CONGESTION 31 5.6 CITY FLEET SERVICES 33 6 AV IMPACTS AND IMPLEMENTATION CONSIDERATIONS 34 6.1 LEADERSHIP 34 6.2 TRANSPORTATION PLANNING AND URBAN DESIGN 35 6.3 INTELLIGENT TRANSPORTATION SYSTEMS 36 6.4 PUBLIC TRANSIT 38 6.5 FREIGHT 39 6.6 WINTER CONDITIONS 39 6.7 DATA POLICIES 40 6.8 REGULATION 43 6.9 FISCAL IMPACT 45 6.10 ECONOMIC IMPACT 46 7 GOVERNMENT INITIATIVES 50 7.1 CANADA 50 7.2 UNITED STATES 50 7.3 EUROPE 51 iv 7.4 ASIA & AUSTRALIA 53 8 APPENDICES 54 8.1 AV TECHNOLOGIES AND THEIR IMPLICATIONS 54 8.2 NHTSA LEVELS OF VEHICLE AUTOMATION 58 9 WORKS CITED 59 Driving Changes: Automated Vehicles in Toronto 1 1 About this project This report was commissioned by City of Toronto Transportation Services Division as part of a broader project under the University of Toronto Transportation Research Institute (UTTRI).