Management of Surface Transportation Systems
Management of Surface Transportation Systems

Author: Thomas Urbanik

Publisher: Transportation Research Board

Published: 1998

Total Pages: 36

ISBN-13: 9780309061179

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This synthesis will be of interest to officials of municipal, regional, and statewide transportation agencies who are responsible for the management of surface transportation systems in metropolitan areas. It presents information on the processes used by transportation agencies to monitor, evaluate, and implement a variety of solutions to the management of surface transportation systems. This is a complex and dynamic area of application, and the examples presented herein represent a selection of such applications in 1997. The concept of transportation system management is constantly changing and will continue to change, especially with further implementation of intelligent transportation systems. This report of the Transportation Research Board provides an overview of the generalized process that transportation agencies have found to be effective in managing the various aspects of their transportation systems. Specific case examples of effective management strategies are described for several metropolitan areas including Houston, Seattle, metropolitan New York, Los Angeles, San Francisco, and Minneapolis/St. Paul.

ITS Sensors and Architectures for Traffic Management and Connected Vehicles
ITS Sensors and Architectures for Traffic Management and Connected Vehicles

Author: Lawrence A. Klein

Publisher: CRC Press

Published: 2017-08-07

Total Pages: 574

ISBN-13: 1351800973

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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 and dispatching of emergency response providers. 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 several ITS strategies; sensor technologies; sensor installation, initialization, and field-testing procedures; and alternate sources of traffic flow data. The book addresses concerns related to the introduction of automated and connected vehicles, and the benefits that systems engineering and national ITS architectures in the US, Europe, Japan, and elsewhere bring to ITS. 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. ITS Sensors and Architectures for Traffic Management and Connected Vehicles suits the needs of personnel in transportation institutes and highway agencies, and students in undergraduate or graduate transportation engineering courses.