Overview

Creating traffic models is a complex task due to the intricacies of road networks, space–time dependencies, heterogeneous traffic patterns, and numerous interacting components. The second edition of Traffic Flow Theory builds on foundational knowledge to express these elements in mathematical form and offers updated coverage of the latest field developments. Authored by a leading academic, the volume dissects everyday traffic phenomena, detailing their characteristics, mechanisms, and dynamics through multi-level modeling approaches (macroscopic, microscopic, mesoscopic, and picoscopic) to explain why these phenomena occur and how they can be effectively simulated. The book then explores the practical applications of these simulations and contributes new, research-informed evidence showing that integrating the various analytical frameworks leads to a unified perspective—with significant benefits for optimizing safety and efficiency in transportation systems. With its comprehensive, coherent, and self-contained treatment, Traffic Flow Theory 2E is set to become a staple reference for a broad transportation engineering audience and a valuable resource for readers in interconnected disciplines.

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9780443337574

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Author Information

Dr. Ni has been a Professor at UMass Amherst since 2006. At the Georgia Institute of Technology, he earned his PhD in Transportation and Operations Research in 2004, his MSc in Industrial Engineering in 2003, his MSc in Transportation in 2001, and his MSc in Mechanical Engineering at the Beijing Agricultural Engineering University in 1994. His research interests focus on traffic flow modeling and simulation, intelligent transportation systems, traffic sensing and information technology, connected and automated vehicles. He is an Associate Editor for the Journal of Intelligent Transportation Systems (Taylor & Francis) and a ‘friend’ member of the TRB Committee on Traffic Flow Theory and Characteristics (ACP50).

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