Author: Azim Eskandarian Publisher: Springer ISBN: 9780857290847 Category : Technology & Engineering Languages : en Pages : 0
Book Description
The Handbook of Intelligent Vehicles provides a complete coverage of the fundamentals, new technologies, and sub-areas essential to the development of intelligent vehicles; it also includes advances made to date, challenges, and future trends. Significant strides in the field have been made to date; however, so far there has been no single book or volume which captures these advances in a comprehensive format, addressing all essential components and subspecialties of intelligent vehicles, as this book does. Since the intended users are engineering practitioners, as well as researchers and graduate students, the book chapters do not only cover fundamentals, methods, and algorithms but also include how software/hardware are implemented, and demonstrate the advances along with their present challenges. Research at both component and systems levels are required to advance the functionality of intelligent vehicles. This volume covers both of these aspects in addition to the fundamentals listed above.
Author: James M. Anderson Publisher: Rand Corporation ISBN: 0833084372 Category : Transportation Languages : en Pages : 215
Book Description
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.
Author: Markus Maurer Publisher: Springer ISBN: 3662488477 Category : Technology & Engineering Languages : en Pages : 698
Book Description
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".
Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation Publisher: ISBN: Category : Intelligent transportation systems Languages : en Pages : 76
Author: Juan Pimentel Publisher: SAE International ISBN: 0768002192 Category : Technology & Engineering Languages : en Pages : 208
Book Description
Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products. Traditionally, automotive safety follows functional safety concepts as detailed in the standard ISO 26262. However, automated driving safety goes beyond this standard and includes other safety concepts such as safety of the intended functionality (SOTIF) and multi-agent safety. Multi-Agent Safety addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include vehicle interaction with other vehicles, pedestrians, bicyclists, and other road objects. As the second title in a series on automated vehicle safety, each will contain introductory content by the Editor with 10 SAE technical papers specifically chosen to illuminate the specific safety topic of that book.
Author: U. S. Department Of Transportation Publisher: Createspace Independent Publishing Platform ISBN: 9781724236395 Category : Automobiles Languages : en Pages : 36
Book Description
"A Vision for Safety replaces the Federal Automated Vehicle Policy released in 2016. This updated policy framework offers a path forward for the safe deployment of automated vehicles by: encouraging new entrants and ideas that deliver safer vehicles; making Department regulatory processes more nimble to help match the pace of private sector innovation; and supporting industry innovation and encouraging open communication with the public and with stakeholders."--Introductory message.
Author: Gary J Naples Publisher: SAE International ISBN: 0768001226 Category : Business & Economics Languages : en Pages : 208
Book Description
In this follow-up to his earlier SAE book By the Numbers: Principles of Automotive Parts Management, Naples focuses on managing the three most important assets of an automobile parts business: financial, customer, and personnel. The book also includes information critical for creating and managing a total quality organization. Beyond the Numbers offers reference material applicable to the parts supply industry and beyond, and provides a framework that parts managers and parts store owners can use to improve overall organizational performance. Naples provides specific and practical guidelines for quality management which will lead to loyal employees, loyal customers, and a better bottom line.
Author: Guohua Li Publisher: Springer Science & Business Media ISBN: 1461415993 Category : Medical Languages : en Pages : 672
Book Description
Injury is recognized as a major public health issue worldwide. In most countries, injury is the leading cause of death and disability for children and young adults age 1 to 39 years. Each year in the United States, injury claims about 170,000 lives and results in over 30 million emergency room visits and 2.5 million hospitalizations. Injury is medically defined as organ/tissue damages inflicted upon oneself or by an external agent either accidentally or deliberately. Injury encompasses the undesirable consequences of a wide array of events, such as motor vehicle crashes, poisoning, burns, falls, and drowning, medical error, adverse effects of drugs, suicide and homicide. The past two decades have witnessed a remarkable growth in injury research, both in scope and in depth. To address the tremendous health burden of injury morbidity and mortality at the global level, the World Health Organization in 2000 created the Department of Injury and Violence Prevention, which has produced several influential reports on violence, traffic injury, and childhood injury. The biennial World Conference on Injury Control and Safety Promotion attracts a large international audience and has been successfully convened nine times in different countries. In the United States, the National Center for Injury Prevention and Control became an independent program of the federal Centers for Disease Prevention and Control in 1997. Since then, each state health department has created an office in charge of injury prevention activities and over a dozen universities have established injury control research centers. This volume will fill an important gap in the scientific literature by providing a comprehensive and up-to-date reference resource to researchers, practitioners, and students working on different aspects of the injury problem and in different practice settings and academic fields.
Author: Fouzi Harrou Publisher: Elsevier ISBN: 0128234334 Category : Transportation Languages : en Pages : 270
Book Description
Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. - Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring - Uses methods based on video and time series data for traffic modeling and forecasting - Includes case studies, key processes guidance and comparisons of different methodologies
Author: Azim Eskandarian
Author: James M. Anderson
Author: Markus Maurer
Author: United States. Congress. Senate. Committee on Commerce, Science, and Transportation
Author: Juan Pimentel
Author: 
Author: U. S. Department Of Transportation
Author: Gary J Naples
Author: Guohua Li
Author: Fouzi Harrou