With many previous works being done in the field of analyzing traffic accidents using machine learning, classification of victims and their sex seems to be a missing field. We aim to train a model to classify the types of victims and their sex in a traffic accident using various classification models and a dataset containing traffic accident data in France in 2019. We experimented with the variables involved using ablation study and gave the factors that are most relevant in determining the types of victims.


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    Titel :

    Classifying types of victims in a traffic accident using machine learning methods


    Beteiligte:
    Chang, Xuning (Autor:in) / Cai, Jiahui (Autor:in) / Fu, Hongxin (Autor:in) / Zhang, Zuoyu (Autor:in)

    Kongress:

    International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021) ; 2021 ; Sanya,China


    Erschienen in:

    Proc. SPIE ; 12153


    Erscheinungsdatum :

    17.12.2021





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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