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ITS sensors and architectures for traffic management and connected vehicles

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	ITS sensors and architectures for traffic management and connected vehicles/ Lawrence A. Klein.
作者:	Klein, Lawrence A.
出版者:	Boca Raton, FL :CRC Press, : c2018.,
面頁冊數:	1 online resource.
標題:	Sensor networks. -
電子資源:	https://www.taylorfrancis.com/books/9781315206905
ISBN:	9781315206905

ITS sensors and architectures for traffic management and connected vehicles
Klein, Lawrence A.

ITS sensors and architectures for traffic management and connected vehicles[electronic resource] /Lawrence A. Klein. - Boca Raton, FL :CRC Press,c2018. - 1 online resource.

Includes bibliographical references and index.

"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."--Provided by publisher.

ISBN: 9781315206905

Standard No.: 10.1201/9781315206905 doiSubjects--Topical Terms:

558699
Sensor networks.

LC Class. No.: TE228.37 / .K445 2018

Dewey Class. No.: 388.3120284

ITS sensors and architectures for traffic management and connected vehicles
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504 $a Includes bibliographical references and index.
520 $a "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."--Provided by publisher.
588 $a Description based on print version record.
650 0 $a Sensor networks. $3 558699
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