Traffic Information and Control

Author:   Ruimin Li (Tenured Associate Professor, Tsinghua University, Department of Civil Engineering, China) ,  Zhengbing He (Professor, Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, China)
Publisher:   Institution of Engineering and Technology
ISBN:  

9781839530258


Pages:   328
Publication Date:   11 January 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Traffic Information and Control


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Author:   Ruimin Li (Tenured Associate Professor, Tsinghua University, Department of Civil Engineering, China) ,  Zhengbing He (Professor, Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, China)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
Dimensions:   Width: 15.60cm , Height: 2.00cm , Length: 23.40cm
Weight:   0.680kg
ISBN:  

9781839530258


ISBN 10:   1839530251
Pages:   328
Publication Date:   11 January 2021
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1: Introduction Part I: Modern traffic information technology Chapter 2: Traffic analytics with online web data Chapter 3: Macroscopic traffic performance indicators based on floating car data: formation, pattern analysis, and deduction Chapter 4: Short-term travel-time prediction by deep learning: a comparison of different LSTM-DNN models Chapter 5: Short-term traffic prediction under disruptions using deep learning Chapter 6: Real-time demand-based traffic diversion Chapter 7: Game theoretic lane change strategy for cooperative vehicles under perfect information Chapter 8: Cooperative driving and a lane change-free road transportation system Part II: Modern traffic signal control Chapter 9: Urban traffic control systems: architecture, methods and development Chapter 10: Algorithms and models for signal coordination Chapter 11: Emerging technologies to enhance traffic signal coordination practices Chapter 12: Traffic signal control for short-distance intersections with dynamic reversible lanes Chapter 13: Multiday evaluation of adaptive traffic signal system based on license plate recognition detector data Chapter 14: Conclusion

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Author Information

Ruimin Li is a tenured associate professor in the Department of Civil Engineering at Tsinghua University, China. He is a vice chairman and secretary general of the transportation modelling and simulation commission of the China Simulation Federation, and an editorial advisory board member of several international journals. His research interests include intelligent transportation systems, urban transportation planning, and traffic control, safety, and simulation. Zhengbing He is a professor at the Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, China. He is an IEEE senior member, an editorial advisory board member of Transportation Research Part C, and an associate editor of IET Intelligent Transport Systems. He has published more than 80 academic papers in the fields of traffic flow theory and intelligent transportation systems.

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