OD calculations based on big data of public transport passenger flow can effectively improve the service quality of public transport and increase its attractiveness. In this paper, the bus GPS data and station GIS data are processed and time–space correlation is established to obtain the time interval of bus station, clustering analysis of bus IC card transaction data, and matching to get bus passengers’ boarding station and time. Then, based on the probability of passenger travel behavior, the station's attraction power and transfer capacity are used to calculate the passenger's alighting station. Use actual cases to verify the algorithm, and finally calculate the OD matrix and passenger flow statistics of the bus line, so that the public transportation department can accurately obtain the bus travel information of urban residents, and provide data support for traditional public transportation planning.


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    Title :

    Research on OD Estimation of Public Transit Passenger Flow Based on Multi-source Data


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wuhong (editor) / Wu, Jianping (editor) / Jiang, Xiaobei (editor) / Li, Ruimin (editor) / Zhang, Haodong (editor) / Kong, Chaoqun (author) / Guo, Tangyi (author) / He, Liu (author)

    Conference:

    International Conference on Green Intelligent Transportation System and Safety ; 2021 November 19, 2021 - November 21, 2021



    Publication date :

    2022-10-28


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






    Research on Public Transit Passenger OD Matrix Estimation

    Feng, Shumin / Li, Xiaodong | ASCE | 2004


    Research on Public Transit Passenger OD Matrix Estimation

    Feng, S. / Li, X. / ASCE | British Library Conference Proceedings | 2004