This article studies big data technology, analyzes the relationship between various factors of urban road traffic and the occurrence of traffic accidents, and establishes a prediction model based on this. By collecting and processing a large amount of traffic data, including traffic flow, speed, weather, and other information, and combining historical traffic accident records, a prediction model based on machine learning was constructed. The model can monitor road traffic conditions in real time and predict the probability of traffic accidents. In addition, we have also verified and evaluated the model, proving its accuracy and practicality. This research contributes to improving the efficiency of traffic management and road safety, and has important practical significance.


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    Titel :

    Research on risk assessment method of road risk grade assessment


    Beteiligte:
    Pu, Shaoxin (Autor:in)


    Erscheinungsdatum :

    21.04.2023


    Format / Umfang :

    1701297 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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