Informed Urban Transport Systems

Informed Urban Transport Systems examines how information gathered from new technologies can be used for optimal planning and operation in urban settings. Transportation researchers, and those from related disciplines, such as artificial intelligence, energy, applied mathematics, electrical engineering and environmental science will benefit from the book's deep dive into the transportation domain, allowing for smarter technological solutions for modern transportation problems. The book helps create solutions with fewer financial, social, political and environmental costs for the populations they serve.

Readers will learn from, and be able to interpret, the information and data collected from modern mobile and sensor technologies and understand how to use system optimization strategies using this information. The book concludes with an evaluation of the social and system impacts of modern transportation systems.

Autorentext
Joseph Chow is an Assistant Professor in the Department of Civil & Urban Engineering and Center for Urban ITS at NYU, New York, NY. He also heads BUILT@NYU, the Behavioral Urban Informatics, Logistics, and Transport Laboratory. His research expertise lies in transportation systems, with emphasis on multimodal networks, behavioral urban logistics, smart cities, and transport economics. He is the elected Vice Chair of the Urban Transportation SIG at INFORMS Transportation Science & Logistics Society, and an appointed member of TRB's Editorial Board for the Committee on Transportation Network Modeling. He has been published in many journals, including Elsevier's Transportation Research Part C: Emerging Technologies, Transportation Research Part B: Methodological, Transportation Research Part E: Logistics and Transportation Review, Transportation Research Part A: Policy and Practice, and Journal of Transport Geography

Klappentext

Informed Urban Transport Systems examines how information gathered from new technologies can be used for optimal planning and operation in urban settings. Transportation researchers, and those from related disciplines, such as artificial intelligence, energy, applied mathematics, electrical engineering and environmental science will benefit from the book's deep dive into the transportation domain, allowing for smarter technological solutions for modern transportation problems. The book helps create solutions with fewer financial, social, political and environmental costs for the populations they serve.

Readers will learn from, and be able to interpret, the information and data collected from modern mobile and sensor technologies and understand how to use system optimization strategies using this information. The book concludes with an evaluation of the social and system impacts of modern transportation systems.

Inhalt

Part A: Fundamentals1. Urban Transport Systems2. Monitoring Mobility in Smart Cities

Part B: Evaluation of Informed Systems 3. Network Equilibrium Under Congestion4. Market Schedule Equilibrium for Multimodal Systems

Part C Learning From Public Information5. Inverse Transportation Problems6. Privacy in Learning

Part D Design of Informed Systems 7. Network Design 8. Network Portfolio Management