Synchronizing air and intercity high-speed railway (A-IHSR) services has recently been developing vigorously. Train timetables are critical for improving A-IHSR synchronization. This paper proposes a method to optimize intercity high-speed railway (IHSR) timetables based on the dynamic passenger demand of the A-IHSR. An integer non-linear programming (INLP) model is formulated to minimize the passenger waiting time, in which rigorous train capacity, oversaturation situation, and skip-stop are also taken into consideration. We also extend the train timetabling model by considering the synchronization events of flight-train and the train circulation plan. Then, this model is reformulated as a relaxed non-linear programming (NLP) model. . A multimodal nomad algorithm (MNA) is proposed to solve it. The train circulation plan solves by the Gurobi solver. A numerical experiment based on data of the operation of the Jinnan–Binzhou HSR is implemented to demonstrate the efficiency and performance of our proposed model and algorithm.


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    Titel :

    Demand-driven train timetabling for air and intercity high-speed rail synchronization service


    Beteiligte:
    Jiang, Yangsheng (Autor:in) / Chen, Shuiwang (Autor:in) / an, Wenyao (Autor:in) / Hu, Lu (Autor:in) / Li, Yan (Autor:in) / Liu, Jun (Autor:in)

    Erschienen in:

    Transportation Letters ; 15 , 4 ; 321-335


    Erscheinungsdatum :

    21.04.2023


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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