The operation of urban rail transit is inevitably affected by disturbances in practice, causing the original train timetable and rolling stock circulation to be infeasible. This paper addresses the real-time train rescheduling problem through a novel two-step optimization framework. To realign train operations with the original plan, the first step manages traffic flow by optimizing dispatching measures, including retiming, cancellation, short-turning, and backup rolling stock utilization. To maintain the highest possible service quality during the transition period, the second step introduces stop-skipping and further fine-tunes the train timetable. Both steps are formulated as mixed-integer nonlinear programming models, and the second-step model is heuristically decomposed. For computational tractability, mathematical models are transformed using some linearization techniques and then solved according to the prescribed procedure. Numerical experiments based on a small-scale case and real-world data of the Beijing Yizhuang Metro Line show that the proposed two-step optimization framework can satisfy the real-time requirements and outperform the current rescheduling method employed in the automatic train supervision system. Furthermore, the framework is proven to be applicable to different disturbance durations and locations.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Two-Step Optimization Framework for Real-Time Train Rescheduling in an Urban Rail Transit Line


    Beteiligte:
    Su, Boyi (Autor:in) / Wang, Fangsheng (Autor:in) / Su, Shuai (Autor:in) / Wang, Zhikai (Autor:in) / Tang, Tao (Autor:in)


    Erscheinungsdatum :

    01.06.2025


    Format / Umfang :

    6531064 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Simulation-optimization framework for train rescheduling in rapid rail transit

    Hassannayebi, Erfan / Sajedinejad, Arman / Kardannia, Ali et al. | Taylor & Francis Verlag | 2021


    Train Rescheduling of Urban Rail Transit Under Bi-Direction Disruptions in Operation Section

    Sun, Yajie / Zhou, Weiteng / Long, Yuxuan et al. | Transportation Research Record | 2024


    Real-Time Train Rescheduling in Junction Areas

    Chen, L / Schmid, F / Dasigi, M et al. | SAGE Publications | 2010


    Real-time train rescheduling in junction areas

    Chen, L | Online Contents | 2010


    Real-time train rescheduling in junction areas

    Chen, L. / Schmid, F. / Dasigi, M. et al. | British Library Online Contents | 2010