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.
- Takes a fresh look at transportation systems analysis and design, with an emphasis on urban systems and information/data use
- Serves as a focal point for those in artificial intelligence and environmental science seeking to solve modern transportation problems
- Examines current analytical innovations that focus on capturing, predicting, visualizing and controlling mobility patterns
- Provides an overview of the transportation systems benefitting from modern technologies, such as public transport, freight services and shared mobility service models, such as bike sharing, peer-to-peer ride sharing and shared taxis
Part A FUNDAMENTALS 1. Transportation systems 2. Transport in urban informatics
Part B LEARNING FROM INFORMATION 3. Review of learning in transport systems 4. Inverse transportation problems 5. Privacy in learning
Part C INFORMED SYSTEM DESIGN 6. Review of network design 7. Network design and timing 8. Integrated learning and optimization
Part D INFORMED SYSTEM EVALUATION 9. Review of network equilibrium methods 10. Evaluation of flexible transport services 11. Evaluation of operation coordination
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