As traffic accident remains the leading causation of death in the world, this preventable tragedy could be prevented by understanding the driver’s behavior further. Specifically, which driving performance measure (DPM) should the research employ to evaluate the driving behavior and how the results should be interpreted requires more investigation. This is a twofold analysis to understand the DPM better. According to the result, in the one-to-one relationship, all the DPMs didn’t show a statistically significant relationship with the safety measure. In terms of the logistic models, five DPMs are selected as the predictor. Except for Standard Deviation of Only Deceleration, at the significance level of 0.05, the slope of the other four measures are significant in the regression formula. The model performs well in fitting the training data. This study extends our recognition about DPM and can be considered as the reference for DPMs.


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    Titel :

    Linking the Driver’s Driving Performance and Their Driving Safety: A Bridge via Naturalistic Driving Study


    Beteiligte:
    Su, Zhizhuo (Autor:in) / Li, Penghui (Autor:in) / Chen, Long (Autor:in) / Zhang, Qiang (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 3872-3884


    Erscheinungsdatum :

    2020-12-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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