Informed urban transport systems : classic and emerging mobility methods toward smart cities / Joseph Y.J. Chow.

Includes bibliographical references and index.

Urban Transport Systems -- Urban Transport Systems (UTS): Definitions -- Examples of the Need for UTS Engineers -- Manheim-Florian-Gaudry (MFG) Framework -- A Simulation Tool for Evaluating UTS: MATSim -- Use Case Motivations for Book Chapters -- Research and Design Challenges -- Monitoring Mobility in Smart Cities -- Smart Cities, Big Data, and the Internet of Things -- Monitoring Mobility -- Time Geography -- Travel Momentum Fields (TMFs) -- TMF: Transport Route Projections -- TMF: Before-After Analysis -- Research and Design Challenges -- Evaluation of Informed Systems -- Network Equilibrium Under Congestion -- The Need to Evaluate Congestion Effects -- User Equilibrium in Road Networks -- Fixed Route Transit Assignment -- Other Equilibria -- Transport Systems as Two-Sided Markets -- Research and Design Challenges -- Market Schedule Equilibrium for Multimodal Systems -- The Need to Evaluate Activity Scheduling Behavior -- Complexity of Activity Scheduling -- A Model of User Activity Scheduling Behavior -- Market Schedule Equilibrium for a Transport System -- Urban Freight Activity Analysis -- Research and Design Challenges -- Learning From Public Information -- Inverse Transportation Problems -- Machine Learning Applications in Urban Transport -- Inverse Transportation Problems -- Multiagent Inverse Transportation Problems -- Network Learning -- Research and Design Challenges -- Privacy in Learning -- User Privacy -- Operator Competitive Privacy Control -- Network Learning With Privacy Awareness -- Research and Design Challenges -- Design of Informed Systems -- Network Design -- Network Design Problems -- Bilevei Network Design -- Network Design Under Coexisting Systems -- Research and Design Challenges -- Network Portfolio Management -- Decision-Making Under Uncertainty -- Optimal Timing Under Uncertainty: Real Options Methods -- Operating Mode Switching Under Uncertainty -- Sequential Network Design and Timing -- Research and Design Challenges.

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.