Urban rail transit is the backbone of metropolitan transportation. With continuous growth of passenger flows and deepening of networked operations, its operation and management face new opportunities and challenges. Passenger travel trajectory is the basis for analyzing passenger flow distribution and travel behaviors, but characteristics of one-pass transfer system and non-check-in seat bring great difficulties to passenger trajectory analysis. The Automatic Fare Collection (AFC) system records massive passenger travel data, and the data mining method in the area of big data provides a new way of thinking for tracking passenger travel trajectories. By mining the passenger travel data recorded by the AFC system and combining the relationship between urban rail passenger flow and train, this paper proposes a “passenger flow-train” matching algorithm based on reference passenger. The method can be applied to the daily analysis of urban rail passenger flow, and provides support for the organization of operation management agencies.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Travel trajectory detection of travelers in urban rail transit based on reference passengers


    Contributors:
    Zhao, Yafeng (author) / Zhao, Peng (author)

    Conference:

    Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021) ; 2021 ; Chongqing,China


    Published in:

    Proc. SPIE ; 12081


    Publication date :

    2022-02-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Travel trajectory detection of travelers in urban rail transit based on reference passengers

    Zhao, Yafeng / Zhao, Peng | British Library Conference Proceedings | 2022



    Spatiotemporal path inference model for urban rail transit passengers based on travel time data

    Luo, Qin / Lin, Bin / Lyu, Yitong et al. | Wiley | 2023

    Free access


    Method and device for determining travel duration of passengers in urban rail transit station

    TIAN YUAN / WANG XIAOCHEN / DU CHENGXIN et al. | European Patent Office | 2023

    Free access