While not specifically addressing issues concerning autonomous vehicles, this work is useful as it examines the ‘interplay between thermodynamics, basics of engine operation, vehicle mechanics as well as parameter estimation and automotive control approaches.
From the Publisher's Description: Written by two of the most respected, experienced and well-known researchers and developers in the field (e.g., Kiencke worked at Bosch where he helped develop anti-breaking system and engine control; Nielsen has lead joint research projects with Scania AB, Mecel AB, Saab Automobile AB, Volvo AB, Fiat GM Powertrain AB, and DaimlerChrysler. Reflecting the trend to optimization through integrative approaches for engine, driveline and vehicle control, this,,, book enables control engineers to understand engine and vehicle models necessary for controller design and also introduces mechanical engineers to vehicle-specific signal processing and automatic control. …. The second edition offers new or expanded topics such as diesel-engine modelling, diagnosis and anti-jerking control, and vehicle modelling and parameter estimation.

This work includes material from several authors who address automated driving, agriculture applications and automatic control, landscaping applications, unmanned maritime vehicles and unmanned aircraft systems in environmental monitoring applications.
Publisher's Description: Over the years, the Defense Advanced Research Projects Agency (DARPA) Challenges in the United States have galvanized interest in autonomous cars, making them a real possibility in the mind of the public, but autonomous and unmanned vehicles have been increasingly employed in many roles on land, in the water, and in the air. Military applications have received a great deal of attention, with weaponized unmanned aircraft (drones) being the most prominent. However, unmanned vehicles with varying degrees of autonomy already have many civilian applications. Some of these are quite familiar (such as the Roomba autonomous vacuum cleaner), while others remain largely out of the public eye (such as autonomous farm equipment). Additional applications and more capable vehicles are rapidly coming to the markets in the years ahead. This book examines a number of economically important areas in which unmanned and autonomous vehicles, also understood here as autonomous technologies, are already used or soon will be. Co-published by SAE International and AUVSI, Autonomous Technologies: Applications That Matter will assist the reader in identifying profitable opportunities and avoiding costly misconceptions with respect to civilian applications of autonomous vehicle technologies as it brings together chapters on how air, water, and ground vehicles are becoming ever more used and appreciated.

This work examines the use of autonomous vehicles, state law and legislative activity, current state of autonomous vehicles, the role of telematics and communications, standards and regulations and their application to autonomous vehicle technologies, liability implications of autonomous vehicle technology and guidance for policymakers.
Publisher's Description: The automotive industry appears close to substantial change engendered by "self-driving" technologies. The 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. Publisher's web site External for 2016 revision, includes abstract, brief table of contents, and links to scanned full text.

The Federal Motor Carrier Safety Administration's (FMCSA) safety goal is to reduce the number and severity of commercial motor vehicle fatalities and crashes. During the last several years, FMCSA has collaborated with the trucking industry to test, evaluate, and facilitate the deployment of several onboard safety systems for commercial motor vehicles to increase the safety of all roadway users. The purpose of this book is to evaluate costs and benefits for industry associated with Forward Collision Warning Systems that can reduce large truck rear-end crashes. This work is divided into two sections: ‘Analysis of Benefits and Costs of Forward Collison Warning Systems for the Trucking Industry’ and ‘Analysis of Benefits and Costs of Lane Departure Warning Systems for the Trucking Industry.’ Both sections analyze the benefits of lane departure warning systems to help lane departure crashes as a result of voluntary adoption of onboard safety systems. Illustrated with tables and lists.

Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining. One of the applications explored in this book is the forecasting of nationwide consequences of a massive switch to electric vehicles, given the intertwined nature of mobility and power distribution networks. This work also examines ‘mobility profiling’ in terms of urban planning and transportation management.

As its title indicates, this work is devoted to models of cognition and behavior as it applies to the design level in intelligent transport systems. Arranged in a series of chapters and written by researchers in the field, the table of contents allows for ease in the identification of specific models and further discussion.

Publisher's Description
Table of Contents
Innovative transportation technologies will be a vital component of any future sustainable society. Gathering over 50 authoritative, peer-reviewed entries from the Encyclopedia of Sustainability Science and Technology, Transportation Technologies for Sustainability covers a broad range of transportation-related sustainability research, from vehicle design and technology to mass transit systems. State-of-the-art chapters describe key developments in intelligent vehicle technology, including vision sensors, driver status monitoring, and vehicle motion control, while international experts present the latest research in electric, hybrid, and fuel cell vehicles. Leaders in the mass transit field assess a broad spectrum of alternatives in both small and large urban areas. This valuable collection is an essential reference for undergraduate and graduate students, researchers, policymakers, and industry experts.