The invention relates to a traffic trip feature extraction method based on multi-mode public transport data matching. According to the traffic trip feature extraction method based on multi-mode public transport data matching, the concept of a public transport commuting trip chain is introduced, and resident commuting trip feather information such as the commuting trip time, the commuting trip distance and the transfer characteristics is obtained by conducting data pre-processing and matching, public transport trip chain structure extraction, commuting trip behavior judgment, trip origin-destination determination and trip feather information matching according to the multi-source data including ground public transport, rail transport and public bike card swiping data, public transport GPS data, public transport stations, line basic data and the like. According to the traffic trip feature extraction method based on multi-mode public transport data matching, the resident commuting trip condition can be mastered by public transport operating enterprises and government competent departments accurately, the support is provided for optimizing urban public transport lines and making public transport policies, and the traffic trip feature extraction method has great significance in improving commuting trip efficiency of residents.


    Access

    Download


    Export, share and cite



    Title :

    Traffic trip feature extraction method based on multi-mode public transport data matching


    Contributors:
    WENG JIANCHENG (author) / ZHANG LEDIAN (author) / CHEN ZHIHONG (author) / WANG YUEYUE (author) / WANG CHANG (author) / RONG JIAN (author)

    Publication date :

    2015-07-08


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    Special event city partitioning method based on multi-mode public transport trip data

    CHEN XUEWU / WANG YUFEI / HUA MINGZHUANG et al. | European Patent Office | 2023

    Free access

    Research on Urban Multi-Mode Public Transport Trip Path Based on Super Network Theory

    Zhang, Tingting / Hu, Dawei / Chen, Haimei | TIBKAT | 2020



    Public transport trip matrix estimation

    Smith, G. C. / Logie, M. / Planning and Transport Research and Computation International Association; European Transport, Highways and Planning | British Library Conference Proceedings | 1993


    Trip extraction for traffic analysis using cellular network data

    Breyer, Nils / Gundlegard, David / Rydergren, Clas et al. | IEEE | 2017