Spatial-temporal division based on peak hour traffic flow rate is used in the detection of a traffic anomaly. A spatial-temporal subzone is created by dividing one day into several time segments of 30 minutes, each defined as a time subzone; dividing one implemented area into several spatial segments of 200m x 200m or 400m x 400 m according as the peak hour flow rate is greater or less than 1000 vehicles per hour, each defined as a spatial subzone; and defining an intersection of one time subzone and one spatial subzone as a spatial-temporal subzone. Historical and real-time GNSS positioning data of floating vehicles is respectively pre-processed into sampled vehicle travel time data relating to historical and real-time trajectories. These are used in a finite mixed modelling method to establishing respective historical and real-time travel time probability distributions. Jensen-Shannon divergence is then used to measure a difference between said probability distributions and an anomaly index of traffic conditions is determined from said difference. The accuracy of said anomaly index is then evaluated.


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    Titel :

    A method for detecting traffic anomaly with non-equidistant spatial-temporal division based on peak hour traffic flow rate


    Beteiligte:
    YUCHUAN DU (Autor:in) / FUWEN DENG (Autor:in)

    Erscheinungsdatum :

    2021-03-31


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

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




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