Overview
- Analyzes empirical observations of complex, dynamic and stochastic evolutions of traffic flow
- Develops the headway/spacing Markov model and asymmetric stochastic Tau theory in car-following behaviors
- Exams wide scattering characteristics in stochastic fundamental diagram
- Estimates traffic flow breakdown probability in highway bottlenecks, proposes a spatial-temporal queuing model
- Includes supplementary material: sn.pub/extras
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
- Car-following Model
- Headway/spacing Distribution
- Mesoscopic Traffic Flow Modeling
- Multiple Heterogeneous Traffic Flow Measurements
- Stochastic Evolutions of Dynamic Traffic Flow
- Stochastic Fundamental Diagram
- Stochastic Fundamental Diagram
- Traffic Congestion
- Traffic Flow Breakdown Probability Model
- complexity
About this book
This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity distributions and subsequently develop a Markov car-following model to describe drivers’ random choices concerning headways/spacings, putting forward a stochastic fundamental diagram model for wide scattering flow-density points. In the context of highway onramp bottlenecks, the authors present a traffic flow breakdown probability model and spatial-temporal queuing model to improve the stability and reliability of road traffic flows. This book is intended for researchers and graduate students in the fields of transportation engineering and civil engineering.
Authors and Affiliations
About the authors
Xiqun (Michael) Chen received the B.E. degree and the Ph.D. degree from the Department of Civil Engineering, Tsinghua University, China, in 2008 and 2012. His thesis entitled "Stochastic Evolutions of Dynamic Traffic Flow: Modeling and Application" received the 2013 IEEE ITSS Best Ph.D. Dissertation Award. He is now a post-doctoral researcher at Department of Civil and Environmental Engineering, University of Maryland at College Park, working on intelligent transportation systems, simulation based optimization, and traffic flow theory.
For details please refer to attached CV.
Li Li is currently an Associate Professor at Department of Automation, Tsinghua University, Beijing, China, working in the fields of complex and networked systems, intelligent control and sensing, intelligent transportation systems, and intelligent vehicles. He had published more than 30 peer-reviewed journal papers and over 40 peer-reviewed conference papers as a first/corresponding author. He currently serves as an Associate Editor for IEEE Transactions on Intelligent Transportation Systems.
Qixin Shi is currently an Emeritus Professor in Department of Civil Engineering, Tsinghua University, Beijing, China. He received the B.E. degree from Department of Civil Engineering, Tsinghua University in 1970. He worked at Tsinghua University since 1970 and retired in 2009. His major research fields include intelligent transportation systems, transportation planning, traffic management and control, sustainable transportation systems, road and bridge Engineering. Professor Shi founded the traffic engineering discipline in accordance with national needs at Tsinghua University in 1985. He was the founder of the Institute of Transportation Engineering at Tsinghua University, and served as the first director. Professor Shi has published more than 200 papers and devotes himself to promoting the development and implementation of intelligent transportation systems in China.
>Bibliographic Information
Book Title: Stochastic Evolutions of Dynamic Traffic Flow
Book Subtitle: Modeling and Applications
Authors: Xiqun (Michael) Chen, Li Li, Qixin Shi
DOI: https://doi.org/10.1007/978-3-662-44572-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-44571-6Published: 30 September 2014
Softcover ISBN: 978-3-662-51545-7Published: 10 September 2016
eBook ISBN: 978-3-662-44572-3Published: 18 September 2014
Edition Number: 1
Number of Pages: XIX, 193
Number of Illustrations: 9 b/w illustrations, 56 illustrations in colour
Additional Information: Jointly published with Tsinghua University Press, Beijing, China
Topics: Complexity, Complex Systems, Civil Engineering, Statistical Physics and Dynamical Systems