The scheduling of vehicle movement activities is an important component in highspeed railway transit operations planning process. This paper presents a mathematical programming approach to vehicle routing for the Pennsylvania Transrapid Maglev Train System. A mathematical model of the routing procedure is first derived. Based on this model, the vehicle routing problem is formulated into a constrained optimization problem, in which the train miles travelled are maximized subject to various operational and safety requirements. This large scale non-linear optimization problem is then solved by a genetic algorithm.


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    Titel :

    Routing for the Pennsylvania Maglev system by a genetic algorithm


    Beteiligte:
    Cao, Y-Y (Autor:in) / Lin, Z (Autor:in) / Giras, T C (Autor:in) / Disk, D R (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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