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商品コード: 9781138747371

ITS Sensors and Architectures for Traffic

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書名

ITS Sensors and Architectures for Traffic Management and Connected Vehicles
著者・編者 Klein, L.A.
出版社/発行元 CRC Press
発行年/月 2017年8月   
装丁 Softcover
ページ数/巻数 440 ページ
ISBN 978-1-138-74737-1
発送予定 海外倉庫よりお取り寄せ 2-3週間以内に発送します

 

Desciption

 

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.

 

Contents:

 

Introduction
Freeway Traffic Management Centers
Sensor Applications to ITS
Sensor Data Requirements
Modern Traffic Flow Sensor Technologies
Inductive Loop Installation and Loop System Sensitivity
Overhead Sensor Installation and Initialization
Sensor Specification and Testing Tools
Sensor Field Tests
Alternative Sources of Navigation and Traffic Flow Data
Automated Vehicles
Connected Vehicles
Systems Engineering
National ITS Architectures
Connected Vehicle Architectures and Applications
Sensor and Data Fusion in Traffic Management
Bayesian Inference and Dempster-Shafer Evidential Reasoning and their Application to Traffic Management

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