The purpose of this Special Issue is to create an an academic platform whereby high-quality research papers are published on the applications of innovative AI algorithms to transportation planning and operation. The authors present their original research articles related to the applications of AI or machine-learning techniques to transportation planning and operation. The topics of the articles encompass traffic surveillance, traffic safety, vehicle emission reduction, congestion management, traffic speed forecasting, and ride sharing strategy


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    Title :

    AI-Based Transportation Planning and Operation


    Contributors:

    Publication date :

    2021


    Size :

    1 Online-Ressource (124 p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    English





    AI-Based Transportation Planning and Operation

    Sohn, Keemin | TIBKAT | 2021

    Free access

    Order-based freight transportation operation planning in railway networks

    Anghinolfi, Davide / Paolucci, Massimo / Sacone, Simona et al. | Tema Archive | 2009



    Urban Public Transportation: Planning and Service Operation Issues

    G. Giuliano / R. F. Teal / D. H. Pickrell et al. | NTIS | 1987