With the rapid development of economy and society, congestion in cities is increasing and headway for public transport is unstable. Therefore, bus bunching is occurring in the course of bus operation, which leads to unreliable service problems such as increased overall waiting time. Under the premise of the widely used smart card, the research takes a single bus line as the object and studies it with the historical data of the smart card. A real-time model of passengers waiting at bus stops is established based on the data of bus speed and historical data. Moreover, the prediction result is used to predict the bus bunching. This paper will verify the efficiency and feasibility of the model by numerical examples. The study’s results show that the prediction model of bus bunching based on smart card data can predict the condition during bus operation accurately and discover potential problems in time.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Prediction of Bus Bunching Using Smart Card Data


    Contributors:
    Jiang, Rui-Sen (author) / Hu, Da-Wei (author) / Wu, Xue (author)

    Conference:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Published in:

    CICTP 2019 ; 1386-1397


    Publication date :

    2019-07-02




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Bus bunching predication method based on IC card data

    MA XIAOLEI / CHEN DONGWEI / YU HAIYANG | European Patent Office | 2015

    Free access

    Prevention and Prediction of Bus Bunching

    Devi, M. Thanga Subha / Kavitha, T. / Veeraj, K. et al. | Springer Verlag | 2025

    Free access

    Bus bunching prediction method and system

    JIAO JIE / QIN FEIFEI / CHENG MING et al. | European Patent Office | 2023

    Free access

    Headway-Based Bus Bunching Prediction Using LSTM with Attention

    Jiao, Jie / Shen, Pengtao / Zhang, Yong | IEEE | 2023