In this paper, we develop a method of real-time train rescheduling on double-track high-speed railway lines undergoing major disruption. As a result, trains approaching the disrupted area cannot use the blocked tracks and must be efficiently rescheduled. As most tracks in a high-speed railway station can be shared by trains arriving from both directions, we reschedule both inbound and outbound trains simultaneously by allowing them to share sidings. Based on a space-time network, an integer linear programming (ILP) model is formulated to minimize the train-deviation cost. As the ILP model is difficult to solve for real-world problems, we decompose it into many easy-to-solve subproblems by the alternating direction method of multipliers (ADMM) algorithm. Our model is tested on an abstract representation of the Chinese high-speed railway system to illustrate both the benefit of rescheduling trains in both directions simultaneously and the efficiency of the ADMM algorithm in train rescheduling.


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    Titel :

    Train rescheduling in a major disruption on a high-speed railway network with seat reservation


    Beteiligte:
    Zhan, Shuguang (Autor:in) / Wong, S. C. (Autor:in) / Shang, Pan (Autor:in) / Lo, S. M. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2022-12-02


    Format / Umfang :

    36 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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