Traffic Management, Vehicle Types, and Connectivity That Enhance the Mobility of the Traveler

What is it about?

An intelligent transportation system (ITS) offers considerable opportunities for increasing the safety, efficiency, and predictability of traffic flow and reducing vehicle emissions. Sensors (or detectors) enable the effective gathering of arterial and controlled-access highway information in support of automatic incident detection, active transportation and demand management, traffic-adaptive signal control, and ramp and freeway metering. As traffic flow sensors are integrated with big data sources such as connected and cooperative vehicles, and cell phones and other Bluetooth-enabled devices, more accurate and timely traffic flow information can be obtained. The book examines the roles of traffic management centers that serve cities, counties, and other regions, and the collocation issues that ensue when multiple agencies share the same space. It describes sensor applications and data requirements for ITS; sensor technologies; sensor installation, initialization, and field-testing procedures; and alternate sources of traffic flow data. Additional topics include discussions of automated and connected vehicle operations, systems engineering, and national ITS architectures in the U.S., Europe, Japan, and elsewhere. Sensor and data fusion benefits to traffic management are described, while the Bayesian and Dempster–Shafer approaches to data fusion are discussed in more detail.

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Why is it important?

ITS Sensors and Architectures for Traffic Management and Connected Vehicles was written to satisfy the needs of personnel in transportation institutes and highway agencies, and students in undergraduate or graduate transportation engineering courses.