To study the irregularities of non-motorized vehicles at signalized intersections, seven signalized intersections in Xi'an were selected to acquire video data by aerial photography. The data were analyzed using SPSS data analysis software, and the overall survival function was drawn using the Kaplan-Meier analysis method. This study develops a Cox hazard-based model and a binomial logit model to analyze the factors that influence non-motorized vehicle irregularities at signalized intersections comparatively. The results show that about 20 percent of cyclists do not wait, and about 20 percent abide by traffic rules strictly. Six factors, including non-motor vehicle type and motor vehicle traffic volume in conflict direction, have significant effects on the waiting time of non-motor vehicles crossing at signalized intersections. Compared with the binomial logit model, the Cox hazard-based model has a better fitting effect.


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    Title :

    Research on Crossing Behavior of Nonmotorized Vehicles at Signalized Intersections Based on Survival Analysis


    Contributors:
    Ma, Shuhong (author) / Liu, Chuanqi (author)

    Conference:

    18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China


    Published in:

    CICTP 2018 ; 1847-1855


    Publication date :

    2018-07-02




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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