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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    Title :

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


    Contributors:
    WANG DONGJING (author) / ZHANG XIN (author) / YU DONGJIN (author) / ZHANG HAIPING (author) / XIAO QIANG (author) / WU RUNZE (author) / XIANG ZHENGZHE (author) / DENG SHUIGUANG (author)

    Publication date :

    2025-05-22


    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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