Taking the pedestrian-vehicle accidents in the China in-Depth Accident Study (CIDAS) database as a sample case, 13 accidents morphological parameters were selected from three aspects: human, vehicle and environmental factors, and their depth analysis was carried out to obtain their distribution law through the card. The chi-square test and logistic regression method are used to analyze the correlation between the injury severity of pedestrians and other accidental morphological parameters in pedestrian-vehicle accidents. The results show that there is no significant correlation between gender/season and injury severity of pedestrians. The age of pedestrians and the collision speed is the strongest correlation with injury severity of pedestrians. When a pedestrian is over 65 years old, the pedestrian height is in the range of 160-170cm, the collision speed is greater than 60 kilometers per hour, and the pedestrian speed is greater than 8 kilometers per hour, the probability of pedestrian injury is significantly increased.


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    Titel :

    In-Depth Analysis of Pedestrian-Vehicle Accidents Based on Chi-Square Test and Logistic Regression


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Cui, Fujun (Autor:in) / Deng, Jia (Autor:in) / Lian, Xiaowei (Autor:in) / Li, Xudong (Autor:in)

    Kongress:

    New Energy & Intelligent Connected Vehicle Technology Conference ; 2019



    Erscheinungsdatum :

    04.11.2019




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :



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