The Real Case for Driverless Mobility: Putting Driverless Vehicles to Use for Those Who Really Need a Ride explores solutions for providing mobility for the unserved/underserved, including those who cannot drive themselves, afford transport alternatives, or who live in areas where neither public nor private transport is offered. The book synthesizes the career-long activities of the authors and the Princeton SmartDrivingCars Summits and assesses whether cars without drivers can deliver an affordable and more effective alternative to mass transit and taxis. A high percentage of the residents in many U.S. cities are poor, and the jobs that remain are often not easily reached by public transit systems which struggle to deliver a minimum level of service with their limited budgets. The SDC Summits were initiated in 2017 by Alain Kornhauser to attempt to address this problem. This book presents the problem and the proposed solution in a form that can be used by a wide audience and help build a constituency, both for the proof of concept and for an eventual implementation in many cities and towns in North America and other parts of the world. Professionals, investors, researchers and students alike will find this book a valuable exploration of how driverless technology can be applied to personal transport that can be used by a large sub-group of the population who are not currently served by automobile transport and are poorly served by public transport solutions. - Takes a perspective from the demand side focused on the have-nots and on assessing and designing the technology to start there and grow - Looks at how to start small, achieve success, and evolve to scale, with an emphasis on affordability - Discusses automated vehicles from a multidisciplinary perspective with each chapter touching on a unique issue related to AVs

Autonomous Vehicles and Future Mobility presents novel methods for examining the long term effects on individuals, society, and on the environment on a wide range of forthcoming transport scenarios such self-driving vehicles, workplace mobility plans, demand responsive transport analysis, mobility as a service, multi-source transport data provision, and door-to-door mobility. With the development and realization of new mobility options comes change in long term travel behavior and transport policy. Autonomous Vehicles and Future Mobility addresses these impacts, considering such key areas as attitude of users towards new services, the consequences of introducing of new mobility forms, the impacts of changing work related trips, the access to information about mobility options and the changing strategies of relevant stakeholders in transportation. By examining and contextualizing innovative transport solutions in this rapidly evolving field, Autonomous Vehicles and Future Mobility provides insights into current implementation of these potentially sustainable solutions, serving as general guidelines and best practices for researchers, professionals, and policy makers. Covers hot topics including travel behavior change, autonomous vehicle impacts, intelligent solutions, mobility planning, mobility as a service, sustainable solutions, and more Examines up to date models and applications using novel technologies Contributions from leading scholars around the globe Case studies with latest research results

The three-volume set LNCS 10918, 10919, and 10290 constitutes the proceedings of the 7th International Conference on Design, User Experience, and Usability, DUXU 2018, held as part of the 20th International Conference on Human-Computer Interaction, HCII 2018, in Las Vegas, NV, USA in July 2018. The total of 1171 papers presented at the HCII 2018 conferences were carefully reviewed and selected from 4346 submissions. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of applications areas. The total of 165 contributions included in the DUXU proceedings were carefully reviewed and selected for inclusion in this three-volume set. The 60 papers included in this volume are organized in topical sections on emotion, motivation, and persuasion design, DUXU and children, DUXU in automotive and transport, and DUXU in culture and art.

This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".

The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.

This book gathers papers from the 23rd International Forum on Advanced Microsystems for Automotive Applications (AMAA 2020) held online from Berlin, Germany, on May 26-27, 2020. Focusing on intelligent system solutions for auto mobility and beyond, it discusses in detail innovations and technologies enabling electrification, automation and diversification, as well as strategies for a better integration of vehicles into the networks of traffic, data and power. Further, the book addresses other relevant topics, including the role of human factors and safety issues in automated driving, solutions for shared mobility, as well as automated bus transport in rural areas. Implications of current circumstances, such as those generated by climate change, on the future development of auto mobility, are also analysed, providing researchers, practitioners and policy makers with an authoritative snapshot of the state-of-the-art, and a source of inspiration for future developments and collaborations.

The emergence of autonomous vehicles (AVs) presents people with new possibilities for daily travel. Since the first completion of Google's self-driving car on-road test in 2009, a variety of automobile manufacturers, high-tech companies, and transportation network companies have joined the autonomous vehicle competition in order to have a leading role in the future transportation industry. Given their self-driving capabilities, AVs are expected to further promote the current shared mobility programs, including both car-sharing and ride-hailing services. Shared autonomous vehicles (SAVs) appear to be a promising future travel mode. This dissertation envisions an AV-supported shared mobility system in the Tuscaloosa, Alabama region. Tuscaloosa is a college town (UA) with a large group of young and high-educated individuals who could be among the first SAV user groups. This dissertation investigates the public perceptions towards shared mobility services powered by AVs. Twitter data were used to capture the perceptions among the general public and a student-centered survey was conducted among UA students to understand how this demographic perceives SAVs. Next, this dissertation exploits open-source social-economic data to construct high-resolution daily travel patterns to simulate a fleet of SAVs serving Tuscaloosa residents. An agent-based activity-based simulation was developed to envision the operations of an SAV system serving travelers in Tuscaloosa. This dissertation makes significant contributions in three aspects. First, the dissertation presents general impressions from social media alongside college students' specific perceptions toward AV-supported shared mobility services, revealing public beliefs and concerns about SAV concepts and the characteristics of potential SAV users in future implementation. Second, this dissertation provides one of the first studies into development of data-intensive high-resolution travel behavior and mobility service simulations for small cities where data are often limited. A framework for preparing data for such simulations is presented in this dissertation. Third, the findings show the potential operational characteristics (e.g., demand) and consequences (e.g., empty vehicle miles) of implementing a college town SAV system. Decision-makers may utilize these findings to determine the feasibility of introducing SAVs in their cities, and operators or investors can gain insights regarding the operations of SAVs (e.g., fare rates, fleet size) in a region.