Train delays propagate rapidly throughout the Urban Rail Transit (URT) network under networked operation conditions, posing significant challenges to operating departments. Accurate passenger flow redistribution prediction is a crucial foundation for formulating reasonable metro service recovery plans under urban rail transit delay conditions. This paper proposes a novel framework for predicting passenger flow redistribution based on passengers’ heterogeneity under delay conditions. We identify the affected passengers and determine their locations by tracing the travel chains, proposing the data-driven passenger travel choice model, and predicting the passenger redistribution. The proposed framework is validated using a real-world case of Shenzhen Metro in China, and it exhibits a high accuracy. The proposed method provides a microscopic view of passenger travel choices for macro-level passenger flow prediction and contributes to operation adjustments under delay conditions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Passenger Flow Redistribution Prediction Method Considering Metro Passengers’ Heterogeneity under Train Delay Conditions


    Beteiligte:
    Chen, Chen (Autor:in) / He, Yuxin (Autor:in) / Chen, Enyi (Autor:in) / Zhao, Yang (Autor:in) / Luo, Qin (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2024 ; 1278-1289


    Erscheinungsdatum :

    11.12.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Metro train delay-recovery strategy considering passenger waiting time and energy consumption: a real-world case study

    Li, Wenxin / Zhong, Qingwei / Peng, Qiyuan et al. | Taylor & Francis Verlag | 2024



    Energy-Efficient Train Operation Optimization in Istanbul Metro Network Considering Variable Passenger Numbers

    Yildiz, Ahmet / Arikan, Oktay / Keskin, Kemal | Transportation Research Record | 2023


    Predicting Express Train Choice of Metro Passengers from Smart Card Data

    Kim, Kyung Min / Hong, Sung-Pil / Ko, Suk-Joon et al. | Transportation Research Record | 2016