Introduction to Network Traffic Flow Theory

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. - Covers the most theoretically and practically relevant network traffic flow theories - Provides a systematic introduction to traditional and recently developed models, including cell transmission, link transmission, link queue, point queue, macroscopic and microscopic models, junction models and network stationary states - Applies modern network traffic flow theory to real-world applications in modeling, analysis, estimation, control, management and planning

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.