Due to the complexity of the railroad system, disruptions can lead train operations to deviate from their scheduled timetables. This study addresses the train rescheduling problem during segment disruptions. Given the uncertainty in disruption duration, we introduce a robustness constraint for train cancellations, leading to a linear integer programming model for train rescheduling. Utilizing the model’s characteristics, we employ the GUROBI solver for analysis and resolution. The results show that the model in this paper can generate robust train rescheduling plans under disruption uncertainty, providing important decision-making insights to dispatchers.


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    Titel :

    Research on Train Rescheduling Considering Robustness under Uncertainty of Segment Disruption Duration


    Beteiligte:
    Liu, Yina (Autor:in) / Xu, Yan (Autor:in) / Sun, Lishan (Autor:in) / Kong, Dewen (Autor:in)

    Kongress:

    24th COTA International Conference of Transportation Professionals ; 2024 ; Shenzhen, China


    Erschienen in:

    CICTP 2024 ; 1321-1332


    Erscheinungsdatum :

    11.12.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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