Intelligent transportation systems, supported by data-gathering sensors and vehicle communications, increase safety, efficiency, predictability of traffic flow and potentially air quality. This book addresses the impact of automated and connected vehicles, systems engineering, and national ITS architectures in the US, Europe, Japan, and elsewhere.
Intelligent transportation systems, supported by data-gathering sensors and vehicle communications, increase safety, efficiency, predictability of traffic flow and potentially air quality. This book addresses the impact of automated and connected vehicles, systems engineering, and national ITS architectures in the US, Europe, Japan, and elsewhere.
Lawrence A. Klein, has more than forty years experience of aerospace and traffic management experience, as a specialist in systems engineering and the development of sensors and data fusion concepts. He is a consultant and has been a research engineer, including working as Director of Advanced Technology Programs at Waveband Corporation and at the French National Institute for Transport and Safety Research. He is a Member of Transportation Research Board's Highway Traffic Monitoring Committee and past member of the Freeway Operations Committee, and led the ASTM E17 Group V-ITS development of worldwide standards to evaluate traffic sensors. Klein is also a Visiting Professor at Harbin Institute of Technology in China, and is the principal author of the third edition of the FHWA's Traffic Detector Handbook.
Inhaltsangabe
1 Introduction 2 Freeway traffic management centers 3 Sensor applications to ITS 4 Sensor data requirements 5 Modern traffic flow sensor technologies 6 Inductive loop installation and loop system sensitivity 7 Overhead sensor installation and initialization 8 Sensor field tests 9 Sensor specification and testing tools 10 Alternative sources of navigation and traffic flow data 11 Automated vehicles 12 Connected vehicles 13 Systems engineering process 14 National ITS architectures 15 Connected vehicle architectures and applications 16 Sensor and data fusion in traffic management 17 Bayesian inference and Dempster-Shafer evidential reasoning and their application to traffic management
1 Introduction 2 Freeway traffic management centers 3 Sensor applications to ITS 4 Sensor data requirements 5 Modern traffic flow sensor technologies 6 Inductive loop installation and loop system sensitivity 7 Overhead sensor installation and initialization 8 Sensor field tests 9 Sensor specification and testing tools 10 Alternative sources of navigation and traffic flow data 11 Automated vehicles 12 Connected vehicles 13 Systems engineering process 14 National ITS architectures 15 Connected vehicle architectures and applications 16 Sensor and data fusion in traffic management 17 Bayesian inference and Dempster-Shafer evidential reasoning and their application to traffic management
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