Provided is a method of predicting traffic events based on a spatio-temporal Hawkes process, which includes the following steps: step 1: collecting historical spatio-temporal data of all types of traffic events; step 2: establishing a spatio-temporal Hawkes process model, which can describe a correlation and probability intensity of the spatio-temporal data; step 3: estimating parameters of the spatio-temporal Hawkes process model by training the spatio-temporal data; step 4: using the trained model to predict traffic events. The technical scheme can use the spatio-temporal Hawkes process model to effectively solve the problems and challenges faced by the existing method of predicting traffic events, effectively capture the spatio-temporal correlation and accurately predict the occurrence of traffic events based on the spatio-temporal data.


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    Titel :

    METHOD OF PREDICTING TRAFFIC EVENTS BASED ON SPATIO-TEMPORAL HAWKES PROCESS


    Beteiligte:
    WANG DONGJING (Autor:in) / ZHANG XIN (Autor:in) / YU DONGJIN (Autor:in) / ZHANG HAIPING (Autor:in) / XIAO QIANG (Autor:in) / WU RUNZE (Autor:in) / XIANG ZHENGZHE (Autor:in) / DENG SHUIGUANG (Autor:in)

    Erscheinungsdatum :

    22.05.2025


    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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