With the expansion of urban rail transit systems, there are more and more equipment failures, especially train failures, which could result in serious disruptions on the operation of trains. Hence, the effective, accurate and comprehensive rolling stock rescue planning and the real-time delay management are crucial for the resilient operation of urban rail transit system. A mixed integer linear programming formulation is proposed for the integrated rolling stock rescue planning and train rescheduling problem for an urban rail transit line, where the detailed passenger characteristic is also considered. Several numerical experiments based on real-world data of Beijing Subway Line 7 are carried out to demonstrate the effectiveness of the presented integrated approach.


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    Titel :

    Real-Time Train Rescheduling with Passenger Demand for Rolling Stock Rescue


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yadav, Sanjay (Herausgeber:in) / Kumar, Rahul (Herausgeber:in) / Zainuddin, Hidayat (Herausgeber:in) / Deng, Lvxiang (Herausgeber:in) / Wang, Hangyu (Autor:in) / Wang, Yihui (Autor:in) / Zhao, Kangqi (Autor:in) / Gao, Peichang (Autor:in)

    Kongress:

    International Conference on Information Control, Electrical Engineering and Rail Transit ; 2022 ; Changsha, China November 25, 2022 - November 27, 2022



    Erscheinungsdatum :

    2023-11-22


    Format / Umfang :

    15 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch