Unmanned Driving Systems for Smart Trains explores the core technologies involved in unmanned driving systems for smart railways and trains, from foundational theory to the latest advances. The volume introduces the key technologies, research results and frontiers of the field. Each chapter includes practical cases to ground theory in practice. Seven chapters cover key aspects of unmanned driving systems for smart trains, including performance evaluation, algorithm-based reasoning and learning strategy, main control parameters, data mining and processing, energy saving optimization and control, and intelligent algorithm simulation platforms. This book will help researchers find solutions in developing better unmanned driving systems. Responds to the expansion of smart railways and the adoption of unmanned global systems Covers core technologies of unmanned driving systems for smart trains Details a large number of case studies and experimental designs for unmanned railway systems Adopts a multidisciplinary view where disciplines intersect at key points Gives both foundational theory and the latest theoretical and practical advances for unmanned railways
The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility. Systematically presents the whole spectrum of next generation Intelligent Transport Systems (ITS) technologies Integrates coverage of personalized mobility and digital assistants, big data analytics and autonomous driving Includes end-of-chapter, open-ended questions that trigger thinking on the technological, managerial and regulatory aspects of ITS
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.
The book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES-STS 2019). Modern transportation systems have undergone a rapid transformation in recent years. This has produced a range of vehicle technology innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations and breakthroughs in Smart Transportation Systems, as well as transport infrastructure modeling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.
This is the sixth volume of a sub series on Road Vehicle Automation published within the Lecture Notes in Mobility. The contents have been provided by researchers, engineers and analysts from all around the world. Topics covered include public sector activities, human factors and challenges, ethical, legal, energy and technology perspectives, vehicle systems development, as well as transportation infrastructure and planning. The book is based on the Automated Vehicles Symposium held on July 9-12, 2018 in San Francisco, CA (USA).
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".
This proceedings volume explores the latest advances in transport and logistics, while also discussing the applications of modern information technologies, telecommunications, electronics, and prospective research methods and analyzing their impacts on society and the environment, which in turn determine the future development of these technologies. The book is intended for a broad readership, including transport and logistics business planners and technical experts, leveraging industry knowledge and facilitating technology adoption in promising business regions and transit corridors such as Ukraine, Kazakhstan, and others. The authors, who include policy planners and crafters as well as education and training professionals, address various types of intermodal transport such as rail, road, maritime, air, etc.
|Author||: Bill Canis|
|Release Date||: 2020-02-20|
|Pages||: 32 pages|
Autonomous vehicles have the potential to bring major improvements in highway safety. Motor vehicle crashes caused an estimated 36,560 fatalities in 2018; a study by the National Highway Traffic Safety Administration (NHTSA) has shown that 94% of crashes are due to human errors. For this and other reasons, federal oversight of the testing and deployment of autonomous vehicles has been of considerable interest to Congress. In the 115th Congress, autonomous vehicle legislation passed the House as H.R. 3388, the SELF DRIVE Act, and a separate bill, S. 1885, the AV START Act, was reported from a Senate committee. Neither bill was enacted. In the 116th Congress, interest in autonomous vehicles remains strong, but similar comprehensive legislative proposals have not been introduced. The America's Transportation Infrastructure Act of 2019, S. 2302, which has been reported by the Senate Environment and Public Works Committee, would encourage research and development of infrastructure that could accommodate new technologies such as autonomous vehicles. In recent years, private and government testing of autonomous vehicles has increased significantly, although it is likely that widespread use of fully autonomous vehicles-where no driver attention is needed-may be many years in the future. The pace of autonomous vehicle commercialization may have slowed due to the 2018 death in Arizona of a pedestrian struck by an autonomous vehicle, which highlighted the challenges of duplicating human decision making by artificial intelligence. The National Transportation Safety Board determined that the fatality was caused by an "inadequate safety culture" at Uber- which was testing the vehicle-and deficiencies in state and federal regulation. The U.S. Department of Transportation and NHTSA have issued three reports since 2016 that inform the discussion of federal autonomous vehicle policies, suggesting best practices that states should consider in driver regulation; a set of voluntary, publicly available self-assessments by automakers showing how they are building safety into their vehicles; and a proposal to modify the current system of granting exemptions from federal safety standards. On February 6, 2020, NHTSA announced its approval of the first autonomous vehicle exemption-from three federal motor vehicle standards-to Nuro, a California-based company that plans to deliver packages with a robotic vehicle smaller than a typical car. Proponents of autonomous vehicles contend that lengthy revisions to current safety regulations could impede innovation, as the rules could be obsolete by the time they took effect. Federal and state regulatory agencies are addressing vehicle and motorist standards, while Congress is considering legislative solutions to some of the regulatory challenges.
This is the first book to consider the likely impact of driverless cars upon the law in Britain - not only upon the laws formed by road traffic accidents but also the changing landscape of data and privacy, roads, crime, employment, insurance and Brexit.