Suburban passenger demand typically exhibits unbalanced distributions, characterized by highly heterogeneous spatial mobility patterns and flow sizes. Designing an efficient, regular, and stable train timetable is critical for long-term use in suburban railways. This study adopts optimization methods to tackle the multi-period train timetable problem, considering both periodic and aperiodic nature to accommodate strongly heterogeneous train services. An MP-TTP model is constructed to minimize travel time and maximize timetable robustness. Additionally, the study introduces a multi-scenario demand input method to address the uncertainty of daily passenger demand. A hybrid particle swarm optimization and genetic algorithm (PSO-GA) is designed. The proposed approach is verified by a real-world case study. The results suggest that the multi-scenario-based train timetable generally outperforms the independent scenario-based method in terms of improving robustness. Furthermore, the multi-periodic train plan can effectively balance efficiency and accessibility while considering regularity.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Multi-Periodic Train Timetable Optimization Model for Suburban Railway Considering Uncertain Passenger Demand


    Contributors:
    Shao, Juan (author) / Sun, Lishan (author) / Xu, Yan (author)

    Conference:

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


    Published in:

    CICTP 2024 ; 1142-1154


    Publication date :

    2024-12-11




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Optimization on Metro Timetable Considering Train Capacity and Passenger Demand from Intercity Railways

    Guo, Haiyang / Bai, Yun / Hu, Qianyun et al. | British Library Conference Proceedings | 2020


    Optimization on Metro Timetable Considering Train Capacity and Passenger Demand from Intercity Railways

    Guo, Haiyang / Bai, Yun / Hu, Qianyun et al. | Springer Verlag | 2020


    Zone-Oriented Suburban Railway Timetable

    Vavra, Rudolf / Janos, Vit | IEEE | 2021