This book demystifies the many different dynamic traffic assignment approaches and requires no previous knowledge on the part of the reader. All results are fully described and proven, thus eliminating the need to seek out other references.

This book establishes several economic models that can approximate matching frictions between drivers and passengers, describes the equilibrium state of ride-sourcing markets, and more.

While this volume covers a wide range of aspects of the modelling of transportation processes as complex systems, an overarching theme is the recognition that these systems are a collective expression of individual human decisions.

The book helps create solutions with fewer financial, social, political and environmental costs for the populations they serve.

This collection includes a rigorous introduction to the tools necessary for analyzing these factors, as well as Big Data collection methodologies, such as smartphone and social media analysis.

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... transportation network. Transportation Research Part B: Methodological, 18, 13À28. Hu, T. Y., & Mahmassani, H. S. (1997). Day-to-day evolution of network flows under realtime information and reactive signal control. Transportation Research ...

... B., 2017a. Empty Seats, Full Streets: Fixing Manhattan's Traffic Problem ... Research Part E: Logistics and Transportation Review 93, 212–231. Wang, X ... Methodological, 132. Wang, X.L., Yang, H., Zhu, D., 2019. Driver-rider cost sharing ...