Informed Urban Transport Systems: Classic and Emerging Mobility Methods toward Smart Cities

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 useServes as a focal point for those in artificial intelligence and environmental science seeking to solve modern transportation problemsExamines current analytical innovations that focus on capturing, predicting, visualizing and controlling mobility patternsProvides 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. Urban Transport Systems 2. Monitoring Mobility in Smart Cities

Part B: Evaluation of Informed Systems 3. Network Equilibrium Under Congestion 4. Market Schedule Equilibrium for Multimodal Systems

Part C Learning From Public Information 5. Inverse Transportation Problems 6. Privacy in Learning

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