ITS Sensors and Architectures for Traffic Management and Connected Vehicles

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The growth in the number and types of driver assist and automated features appearing in automobiles and the rapid acceleration of autonomous or self-driving vehicle technologies and configurations is influencing not only technical matters, but also security, policy, planning, legal, and institutional interests. Vehicle automation is evolving rapidly and, while the material presented in the book was up-to-date as of the time of publication, the reader is advised to consult trade publications and government notices and press releases for the latest regulations and policies affecting these vehicles. The systems engineering process and the National ITS Architecture frameworks are ideal for originating concepts and architectures that meet the needs of stakeholders that own, operate, and rely on multi-modal transportation systems for commuting and their livelihood. The latter chapters of the book introduce the reader to sensor and data fusion and its application to traffic management. This subject is gaining relevance as traffic data acquisition devices proliferate and the need for more accurate and timely traffic flow information increases. ITS Sensors and Architectures for Traffic Management and Connected Vehicles is based on a semester-length course for undergraduate and graduate students taught for several years at the Harbin Institute of Technology (HIT) in Harbin, China. As such, a section of the introductory chapter includes a description of typical U.S. city street types and their functions. This serves to familiarize foreign readers with street configurations commonly found in U.S. cities and provides some motivation for the need for traffic monitoring and traffic control devices.

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