By considering various stochastic disturbances unfolding in a real-time dispatching environment, this paper develops a stochastic optimization formulation for incorporating segment travel-time uncertainty and dispatching policies into a medium-term train-timetabling process that aims to minimize the total trip time in a published timetable and reduce the expected schedule delay. Based on a heuristic sequential solution framework, this study decomposes the robust timetabling problem into a series of subproblems that optimize the slack-time allocation for individual trains. A number of illustrative examples are provided to demonstrate the proposed model and solution algorithms using data collected from a Beijing-Shanghai high-speed rail corridor in China.


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    Titel :

    Stochastic Optimization Model and Solution Algorithm for Robust Double-Track Train-Timetabling Problem


    Beteiligte:
    Khan, M.B. (Autor:in) / Xuesong Zhou, (Autor:in)


    Erscheinungsdatum :

    2010-03-01


    Format / Umfang :

    259791 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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