The present disclosure provides a detection method for a traffic anomaly event, a traffic management and control method, a device, and a medium, which relate to the technical filed of artificial intelligence, specifically, deep learning, intelligent transportation, and computer vision technologies. The detection method comprises: acquiring target traveling parameters of at least some traffic elements in a target traffic scenario corresponding to a target moment; determining a real traveling feature of each traffic element of the at least some traffic elements based on corresponding target traveling parameters; predicting a predictive traveling feature of a target traffic element in the at least some traffic elements based on real traveling features of traffic elements other than the target traffic element in the at least some traffic elements; and determining, based on the real traveling feature of the target traffic element and the predictive traveling feature of the target traffic element, whether an anomaly event for the target traffic element is present at the target moment.


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    Title :

    DETECTION METHOD FOR TRAFFIC ANOMALY EVENT, APPARATUS, PROGRAM AND MEDIUM


    Additional title:

    VERFAHREN ZUR DETEKTION VON VERKEHRSANOMALIEEREIGNISSEN, VORRICHTUNG, PROGRAMM UND MEDIUM
    PROCÉDÉ DE DÉTECTION D'ANOMALIE D'ÉVÉNEMENT DE TRAFIC, DISPOSITIF, PROGRAMME ET SUPPORT


    Contributors:
    TAN XIAO (author)

    Publication date :

    2022-01-19


    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



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