The traditional optimization and adjustment process of train operation plan is relatively lagging behind changes in passenger flow. When the daily passenger flow changes, the traditional process of optimizing and adjusting train operation plan cannot timely meet passenger flow demands while having minimal changes in passenger transportation and service organization. Therefore, this study adjusts the train operation plan by minimizing adjustments while meeting passenger flow demands. It constructs a two-layer adjustment model for high-speed train operation plan based on passenger flow demands: The upper layer aims to adaptability and optimal adjustment weighting, and the lower layer focuses on minimizing the total impedance of the train service network. An annealing-evolution algorithm is designed to solve the train operation plan constructed in this study. Finally, by building a simple high-speed railway line and using initial OD passenger flow data and initial train operation plan, the model and algorithm's effectiveness are validated by adjusting the train operation plan based on two fluctuations of OD passenger flow using the adjustment model.


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    Titel :

    Research on Adjustment of High-Speed Railway Train Operation Plan Based on Passenger Flow Demands


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Wu, Tsu-Yang (Herausgeber:in) / Ni, Shaoquan (Herausgeber:in) / Pan, Jeng-Shyang (Herausgeber:in) / Chu, Shu-Chuan (Herausgeber:in) / Shen, Zexi (Autor:in) / Cui, Zhan (Autor:in) / Wang, Jiajun (Autor:in) / Pan, Jinshan (Autor:in) / Li, Xueting (Autor:in)

    Kongress:

    International Conference on Smart Vehicular Technology, Transportation, Communication and Applications ; 2024 ; Kaohsiung City, Taiwan April 16, 2024 - April 18, 2024



    Erscheinungsdatum :

    22.06.2025


    Format / Umfang :

    27 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch