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Introduction to Network Traffic Flow Theory

Principles, Concepts, Models, and Methods

Wen-Long Jin (The Institute of Transportation Studies, University of California, Irvine, California, USA)

$237.95

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English
Elsevier Science Publishing Co Inc
19 April 2021
Introduction to Network Traffic Flow Theory: Principles, Concepts, Models, and Methods provides a comprehensive introduction to modern theories for modeling, mathematical analysis and traffic simulations in road networks. The book breaks ground, addressing traffic flow theory in a network setting and providing researchers and transportation professionals with a better understanding of how network traffic flows behave, how congestion builds and dissipates, and how to develop strategies to alleviate network traffic congestion. The book also shows how network traffic flow theory is key to understanding traffic estimation, control, management and planning.

Users wills find this to be a great resource on both theory and applications across a wide swath of subjects, including road networks and reduced traffic congestion.

By:  
Imprint:   Elsevier Science Publishing Co Inc
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   450g
ISBN:   9780128158401
ISBN 10:   0128158409
Pages:   282
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Part I. Basics 1. Introduction 2. Representations, variables, and observations 3. Fundamental diagrams Part II. Link Models 4. The Lighthill-Whitham-Richards model 5. The Cell Transmission Model 6. The Link Transmission Model 7. Queueing models Part III. Network Models 8. Junction models 9. Network kinematic wave theory 10. Network stationary states and stability 11. Capacity drop models Part IV. Microscopic models 12. Equivalence between continuum and car-following models 13. Second-order formulation of the LWR model 14. Bounded acceleration models 15. Multilane car-following models 16. Second-order capacity drop model 17. Appendix

Wenlong Jin is an Associate Professor in the Institute of Transportation Studies, at the University of California, Irvine, focusing on the study of drivers' individual choice behaviours (trajectories) and collective queueing processes (cumulative flows). His research interests include modeling and analysing dynamic and stationary traffic patterns at bottlenecks in road networks, using junction models, cell transmission models, link transmission models, capacity drop models, and network stationary models. He has published more than 40 journal articles, including in Elsevier’s Transportation Research Part B: Methodological (for which he serves on the Editorial Advisory Board), and Transportation Research Part C: Emerging Technologies.

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