Metro is an important means of transportation in modern cities. It is of great significance to ensure the operation efficiency of metro for urban traffic. Among the factors affecting the efficiency of Metro operation, passenger flow is one of the most important factors. At present, the only means to detect the metro passenger flow data are manual detection method and the method to detect swipe card data by Metro gate machine. Not only the detection data are inaccurate, but also the data are imperfect. Therefore, this paper establishes a dynamic decision-making model based on the control of passenger flow speed to make a dynamic planning for the subway access gate and choose the access direction, so as to maximize the access efficiency of the gate.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Dynamic Planning of Metro Access Mode Based on Passenger Flow Detection


    Beteiligte:
    Zhao, Jianyou (Autor:in) / Du, Bangshen (Autor:in) / Lv, Yunfei (Autor:in) / Zhu, Pengyuan (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 2085-2094


    Erscheinungsdatum :

    2020-08-12




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Dynamic Planning of Metro Access Mode Based on Passenger Flow Detection

    Zhao, Jianyou / Du, Bangsben / Lv, Yunfei et al. | TIBKAT | 2020


    Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks

    Wang, Jingcheng / Zhang, Yong / Wei, Yun et al. | IEEE | 2021


    Real‐time passenger flow anomaly detection in metro system

    Xiulan Wei / Yong Zhang / Xinyu Zhang et al. | DOAJ | 2023

    Freier Zugriff

    Real‐time passenger flow anomaly detection in metro system

    Wei, Xiulan / Zhang, Yong / Zhang, Xinyu et al. | Wiley | 2023

    Freier Zugriff

    Anomaly Detection in Metro Passenger Flow Based on Random Matrix Theory

    CHEN, Xiaoxu / YANG, Chao / XU, Xiangdong et al. | IEEE | 2019