Autonomous Vehicles “Pedal to the Metal Or Slamming on the Brakes?” Worldwide Regulation of Autonomous Vehicles Norton Rose Fulbright: Where Can We Take You Today?
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Annual Report 2011
Annual Report 2011 41046.indd 1 4/3/12 6:20 PM First to scale and building momentum Revenue $242 in millions $186 $131 $106 Adjusted $58 EBITDA (1) $10.9 in millions $4.2 2007 2008 2009 2010 2011 $(1.6) $(9.8) Members $(13.6) in thousands 673 2007 2008 2009 2010 2011 540 349 258 140 2007 2008 2009 2010 2011 (1) See inside back cover for reconciliation of Adjusted EBITDA to U.S. GAAP Net Income (Loss). 41046.indd 2 4/3/12 6:20 PM 2011 Report Dear Stockholders,, This is our fi rst stockholder letter andnd we are delighted to share with you our vision for the future as well as our results from the past year. We believe the stage is set for a new world of urban mobility. We are building momentum around a deliberate shift away from Zipcar’s mission is urban car ownership toward an array of smart transportation options that improve life for many people. As we lead the creation of an to enable simple and exciting new industry, we are dramatically reducing the second largest expense in most households—transportation spending responsible urban living. —and we’re doing it in a way that makes urban life smart, more sustainable and fun! We are inspired to be part of a rare company that can do well by doing good. In short, the information highway is becoming a substitute for At Zipcar, our mission is to enable simple and responsible urban paved highways. In a 2011 survey, 55% of Millennials (ages 18-34) living. -
Post-Pandemic Reflections: Future Mobility COVID-19’S Potential Impact on the New Mobility Ecosystem
THEMATIC INSIGHTS Post-Pandemic Reflections: Future Mobility COVID-19’s potential impact on the new mobility ecosystem msci.com msci.com 1 Contents 04 Mobility-as-a-Service and the COVID-19 shock 06 Growing Pains in the Future Mobility Market 16 Mobility Services: Expansion and Acceleration 18 COVID-19: A Catalyst for Autonomous Delivery? 2 msci.com msci.com 3 Future Mobility A growing database collated by Neckermann Strategic Advisors has over Mobility-as- 700 public and private companies involved with different elements of the autonomous Mobility-as-a-Service (MaaS) value chain. a-Service A list that doesn’t yet include all the producers of electric, two-wheeled and public transport that contribute to the full and the mobility ecosystem. In the 1910s, the automotive industry was COVID-19 shock vast, and the rising tide was lifting every boat, albeit not profitably. However, by the time the Roaring Twenties came to an end in Even prior to the COVID-19 crisis, we discussed in our first Thematic 1929, the number of US auto manufacturers Insight1 how the world might be in the midst of the largest transformation had already fallen to 44, only to consolidate in mobility since the advent of the automobile some 120 years ago. Will much further after the Great Depression. the current pandemic prove to be a system shock that accelerates the It is, of course, tempting to see a parallel demise of inflexible and unprofitable business models and acts as a to the last five years in mobility. Just prior catalyst for the growth of more digital and service-oriented businesses in to the COVID-19 crisis, there were initial the mobility space? How might industry-wide headwinds affect the new signs of stress in this tapestry of privately- business models and technologies at least in the short-term? funded companies in the Future Mobility New industries naturally go through a series of iterations before becoming ecosystem. -
Paving the Way for Self-Driving Vehicles”
June 13, 2017 The Honorable John Thune, Chairman The Honorable Bill Nelson, Ranking Member U.S. Senate Committee on Commerce, Science & Transportation 512 Dirksen Senate Office Building Washington, DC 20510 RE: Hearing on “Paving the Way for Self-Driving Vehicles” Dear Chairman Thune and Ranking Member Nelson: We write to your regarding the upcoming hearing “Paving the Way for Self-Driving Vehicles,”1 on the privacy and safety risks of connected and autonomous vehicles. For more than a decade, the Electronic Privacy Information Center (“EPIC”) has warned federal agencies and Congress about the growing risks to privacy resulting from the increasing collection and use of personal data concerning the operation of motor vehicles.2 EPIC was established in 1994 to focus public attention on emerging privacy and civil liberties issues. EPIC engages in a wide range of public policy and litigation activities. EPIC testified before the House of Representatives in 2015 on “the Internet of Cars.”3 Recently, EPIC 1 Paving the Way for Self-Driving Vehicles, 115th Cong. (2017), S. Comm. on Commerce, Science, and Transportation, https://www.commerce.senate.gov/public/index.cfm/pressreleases?ID=B7164253-4A43- 4B70-8A73-68BFFE9EAD1A (June 14, 2017). 2 See generally EPIC, “Automobile Event Data Recorders (Black Boxes) and Privacy,” https://epic.org/privacy/edrs/. See also EPIC, Comments, Docket No. NHTSA-2002-13546 (Feb. 28, 2003), available at https://epic.org/privacy/drivers/edr_comments.pdf (“There need to be clear guidelines for how the data can be accessed and processed by third parties following the use limitation and openness or transparency principles.”); EPIC, Comments on Federal Motor Vehicle Safety Standards; V2V Communications, Docket No. -
Autonomous Vehicles on the Road from the Perspective of a Manufacturer's Liability for Damages
Autonomous Vehicles on the Road from the Perspective of a Manufacturer's Liability for Damages IUC International Maritime and Transport Law Course International Maritime and Transport Law – Transport Law de Lege Ferenda Dubrovnik, 9 September 2020 Contents 1. Introduction - definitions, perspective 2. Challenges - current set of rules; AV-AV, AV-CV, AV-rest 3. Opportunities - vision for future 4. Summary Conclusion Is there a need for more regulation in order to help the production of AVs and mitigate damages? 1. AVs to be treated as conventional vehicles, i.e. as any other product, movable 2. Treat them as elevators/lifts or as autopilot technology 3. New legal framework Current legal framework • National regulations • EU strategies/investments • Independent bodies/entities and their recommendations • Good practices What is an AV? • a vehicle enabled with technology that has the capability of operating or driving the vehicle without the active control or monitoring of a natural person - Maurice Schellekens, Self-driving cars and the chilling effect of liability law • 3 elements: 1. Means (AI or similar technology) 2. Purpose of the means 3. Way of operating the means (active control or monitoring of a human person) • AV as any other movable Waymo’s self driving car, 2020 Source: https://www.google.com/search?q=Waymo&rlz=1C1GCEA_enHR912HR912&sxsrf=ALeKk00G8P_y2Ik0neIaDNxJlqcjKMQBlw:1599407756496&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjR67SZ8tTrAhXSTcAKHZATCDQ Q_AUoAXoECBgQAw&biw=1366&bih=657#imgrc=z71dtWbxBXnwgM Tesla model 3, 2020 Source: -
Model Based Systems Engineering Approach to Autonomous Driving
DEGREE PROJECT IN ELECTRICAL ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2018 Model Based Systems Engineering Approach to Autonomous Driving Application of SysML for trajectory planning of autonomous vehicle SARANGI VEERMANI LEKAMANI KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Author Sarangi Veeramani Lekamani [email protected] School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Place for Project Sodertalje, Sweden AVL MTC AB Examiner Ingo Sander School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Supervisor George Ungureanu School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Industrial Supervisor Hakan Sahin AVL MTC AB Abstract Model Based Systems Engineering (MBSE) approach aims at implementing various processes of Systems Engineering (SE) through diagrams that provide different perspectives of the same underlying system. This approach provides a basis that helps develop a complex system in a systematic manner. Thus, this thesis aims at deriving a system model through this approach for the purpose of autonomous driving, specifically focusing on developing the subsystem responsible for generating a feasible trajectory for a miniature vehicle, called AutoCar, to enable it to move towards a goal. The report provides a background on MBSE and System Modeling Language (SysML) which is used for modelling the system. With this background, an MBSE framework for AutoCar is derived and the overall system design is explained. This report further explains the concepts involved in autonomous trajectory planning followed by an introduction to Robot Operating System (ROS) and its application for trajectory planning of the system. The report concludes with a detailed analysis on the benefits of using this approach for developing a system. -
Weekly World Car Info By
WeeklyWeekly WorldWorld CarCar InfoInfo by 04/2020 Table of Content NEW MODEL LAUNCHES LATEST DEVELOPMENTS International Europe North America North America Russia China Japan NEW MODEL LAUNCHES INTERNATIONAL Major Mercedes-EQ Model Offensive: Six New Mercedes-EQ Launches by 2022 Mercedes-Benz has further detailed the expansion of its all electric EQ sub-brand with the announcement of six models all due to be launched by 2022. Although all of these models have been previously confirmed, it is the first time the manufacturer has listed dates for each of the six cars. • The S-Class-sized EQS will be the first of Mercedes’ Rastatt plant in Germany and in the new-generation EQ models to be launched, Beijing, China. in the first half of 2021, with production then • The larger EQB will also be launched in 2021, starting at the firm’s Sindelfingen plant in with production centred in Hungary and Beijing. Germany. • The final model to go into production before • Following the EQS next year will be the EQA, the end of next year will be the EQE, an E-Class- a GLA-based small SUV set to be produced at sized electric “business sedan”. European cars New Model Launches / International will be built at the firm’s plant in Bremen, The EV offensive will be complemented by an Germany, with production also starting in increase in plug-in hybrid models on offer. Beijing. More than 20 different PHEV variants are already • In 2022, Mercedes will introduce two SUVs on sale, but that will rise to 25 by 2025. -
Transportation Bus Information
OFFICE OF INTERNATIONAL STUDENTS AND SCHOLARS Phone: 504.280.6021 // Fax: 504.280.7317 E-mail: [email protected] // Web: http://oiss.uno.edu TRANSPORTATION BUS INFORMATION The bus fare in the city of New Orleans is $1.25, exact change only. If you will be changing buses, give the driver an additional 25 cents to obtain a bus transfer. When you get on the second bus, just give that driver the transfer. Express buses cost $1.50 — they do not make as many stops as the regular buses. Bus stops are marked with a white sign with purple, green and gold stripes. They say BUS STOP and most of them (not all) list at the bottom of the sign the numbers of the buses which stop at that location. If you’ll be riding the bus several times during one day, you can buy a one-day pass for $3 from any of the bus drivers. With this you can take unlimited rides for the day. You can buy a three-day pass for $9, for unlimited rides during that period. You can buy a five-day pass for $15. If you ride the bus on a daily basis, you might want to buy a monthly bus pass for $55. The passes are color-coded by month, so you should buy the pass at the beginning of the month. Check the bus system web site for a route map and individual bus schedules www.norta.com. Note: Fare prices subject to change without notice. Please check website to confirm current rates. -
On-Street Car Sharing Pilot Program Evaluation Report
On-Street Car Sharing Pilot Evaluation On-Street Car Sharing Pilot Program Evaluation Report JANUARY 2017 SAN FRANCISCO MUNICIPAL TRANSPORTATION AGENCY | SUSTAINABLE STREETS DIVISION | PARKING 1 On-Street Car Sharing Pilot Evaluation EXECUTIVE SUMMARY GOAL: “MAKE TRANSIT, WALKING, BICYCLING, TAXI, RIDE SHARING AND CARSHARING THE PREFERRED MEANS OF TRAVEL.” (SFMTA STRATEGIC PLAN) As part of SFpark and the San Francisco Findings Municipal Transportation Agency’s (SFMTA) effort to better manage parking demand, • On-street car share vehicles were in use an the SFMTA conducted a pilot of twelve on- average of six hours per day street car share spaces (pods) in 2011-2012. • 80% of vehicles were shared by at least ten The SFMTA then carried out a large-scale unique users pilot to test the use of on-street parking • An average of 19 unique users shared each spaces as pods for shared vehicles. The vehicle monthly On-Street Car Share Parking Permit Pilot (Pilot) was approved by the SFMTA’s Board • 17% of car share members reported selling of Directors in July 2013 and has been or donating a car due to car sharing operational since April 2014. This report presents an evaluation of the Pilot. Placing car share spaces on-street increases shared vehicle access, Data from participating car share convenience, and visibility. We estimate organizations show that the Pilot pods that car sharing as a whole has eliminated performed well, increased awareness of thousands of vehicles from San Francisco car sharing overall, and suggest demand streets. The Pilot showed promise as a tool for on-street spaces in the future. -
Waymo Rolls out Autonomous Vans Without Human Drivers 7 November 2017, by Tom Krisher
Waymo rolls out autonomous vans without human drivers 7 November 2017, by Tom Krisher get drowsy, distracted or drunk. Google has long stated its intent to skip driver- assist systems and go directly to fully autonomous driving. The Waymo employee in the back seat won't be able to steer the minivan, but like all passengers, will be able to press a button to bring the van safely to a stop if necessary, Waymo said. Within a "few months," the fully autonomous vans will begin carrying volunteer passengers who are now taking part in a Phoenix-area test that includes use of backup drivers. Waymo CEO John Krafcik, who was to make the In this Sunday, Jan. 8, 2017, file photo, a Chrysler announcement Tuesday at a conference in Pacifica hybrid outfitted with Waymo's suite of sensors Portugal, said the company intends to expand the and radar is shown at the North American International testing to the entire 600-square-mile Phoenix area Auto Show in Detroit. Waymo is testing vehicles on and eventually bring the technology to more cities public roads with only an employee in the back seat. The around the world. It's confident that its system can testing started Oct. 19 with an automated Chrysler Pacifica minivan in the Phoenix suburb of Chandler, Ariz. handle all situations on public roads without human It's a major step toward vehicles driving themselves intervention, he said. without human backups on public roads. (AP Photo/Paul Sancya, File) "To have a vehicle on public roads without a person at the wheel, we've built some unique safety features into this minivan," Krafcik said in remarks prepared for the conference. -
A Hierarchical Control System for Autonomous Driving Towards Urban Challenges
applied sciences Article A Hierarchical Control System for Autonomous Driving towards Urban Challenges Nam Dinh Van , Muhammad Sualeh , Dohyeong Kim and Gon-Woo Kim *,† Intelligent Robotics Laboratory, Department of Control and Robot Engineering, Chungbuk National University, Cheongju-si 28644, Korea; [email protected] (N.D.V.); [email protected] (M.S.); [email protected] (D.K.) * Correspondence: [email protected] † Current Address: Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644, Korea. Received: 23 April 2020; Accepted: 18 May 2020; Published: 20 May 2020 Abstract: In recent years, the self-driving car technologies have been developed with many successful stories in both academia and industry. The challenge for autonomous vehicles is the requirement of operating accurately and robustly in the urban environment. This paper focuses on how to efficiently solve the hierarchical control system of a self-driving car into practice. This technique is composed of decision making, local path planning and control. An ego vehicle is navigated by global path planning with the aid of a High Definition map. Firstly, we propose the decision making for motion planning by applying a two-stage Finite State Machine to manipulate mission planning and control states. Furthermore, we implement a real-time hybrid A* algorithm with an occupancy grid map to find an efficient route for obstacle avoidance. Secondly, the local path planning is conducted to generate a safe and comfortable trajectory in unstructured scenarios. Herein, we solve an optimization problem with nonlinear constraints to optimize the sum of jerks for a smooth drive. In addition, controllers are designed by using the pure pursuit algorithm and the scheduled feedforward PI controller for lateral and longitudinal direction, respectively. -
An Introduction of Autonomous Vehicles and a Brief Survey
Journal of Critical Reviews ISSN- 2394-5125 Vol 7, Issue 13, 2020 AN INTRODUCTION OF AUTONOMOUS VEHICLES AND A BRIEF SURVEY 1Tirumalapudi Raviteja, 2Rajay Vedaraj I.S 1Research Scholar, School of Mechanical Engineering, Vellore instutite of technology, Tamilnadu, India, Email: [email protected] . 2Professor, School of Mechanical Engineering, Vellore instutite of technology, Tamilnadu, India, Email: [email protected] Received: 09.04.2020 Revised: 10.05.2020 Accepted: 06.06.2020 Abstract: An autonomous car is also called a self-driving car or driverless car or robotic car. Whatever the name but the aim of the technology is the same. Down the memory line, autonomous vehicle technology experiments started in 1920 only and controlled by radio technology. Later on, trails began in 1950. From the past few years, updating automation technology day by day and using all aspects of using in regular human life. The present scenario of human beings is addicted to automation and robotics technology using like agriculture, medical, transportation, automobile and manufacturing industries, IT sector, etc. For the last ten years, the automobile industry came forward to researching autonomous vehicle technology (Waymo Google, Uber, Tesla, Renault, Toyota, Audi, Volvo, Mercedes-Benz, General Motors, Nissan, Bosch, and Continental's autonomous vehicle, etc.). Level-3 Autonomous cars came out in 2020. Everyday autonomous vehicle technology researchers are solving challenges. In the future, without human help, robots will manufacture autonomous cars using IoT technology based on customer requirements and prefer these vehicles are very safe and comfortable in transportation systems like human traveling or cargo. Autonomous vehicles need data and updating continuously, so in this case, IoT and Artificial intelligence help to share the information device to the device. -
AUTONOMOUS VEHICLES the EMERGING LANDSCAPE an Initial Perspective
AUTONOMOUS VEHICLES THE EMERGING LANDSCAPE An Initial Perspective 1 Glossary Abbreviation Definition ACC Adaptive Cruise Control - Adjusts vehicle speed to maintain safe distance from vehicle ahead ADAS Advanced Driver Assistance System - Safety technologies such as lane departure warning AEB Autonomous Emergency Braking – Detects traffic situations and ensures optimal braking AUV Autonomous Underwater Vehicle – Submarine or underwater robot not requiring operator input AV Autonomous Vehicle - vehicle capable of sensing and navigating without human input CAAC Cooperative Adaptive Cruise Control – ACC with information sharing with other vehicles and infrastructure CAV Connected and Autonomous Vehicles – Grouping of both wirelessly connected and autonomous vehicles DARPA US Defense Advanced Research Projects Agency - Responsible for the development of emerging technologies EV Electric Vehicle – Vehicle that used one or more electric motors for propulsion GVA Gross Value Added - The value of goods / services produced in an area or industry of an economy HGV Heavy Goods Vehicle – EU term for any truck with a gross combination mass over 3,500kg (same as US LGV) HMI Human Machine Interface – User interface between a vehicle and the driver / passenger IATA International Air Transport Association - Trade association of the world’s airlines LIDAR Light Detection and Ranging - Laser-based 3D scanning and sensing MaaS Mobility as a Service - Mobility solutions that are consumed as a service rather than purchased as a product ODD Operational Design