Survival analysis is used to analyze site data to explore vehicles’ mandatory lane changing behaviors and related influential factors. The traffic data on the mandatory lane changing durations of vehicles were collected by an unmanned aerial vehicle (UAV) in a freeway maintenance construction area. A multiplicative hazard model of mandatory lane change was established using the semi-parametric method of survival analysis. Meanwhile, the lane change data has been analyzed by Cox regression analysis. The results show that about three quarters of vehicles’ MLC duration is less than 10 sec. There is no significant evidence showing that different vehicle types have an effect on the duration of mandatory lane changing. The cumulative survival rate of MLC duration the off-peak period has been found to be significantly lower than that in the peak period and transition period. As it turns out, the cumulative survival rate of vehicles’ MLC duration in the transition period is the highest.


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    Titel :

    Hazard-Based Model of Mandatory Lane Change Duration


    Beteiligte:
    Wu, Jiangling (Autor:in) / Zhang, Shengrui (Autor:in) / Singh, Amit Kumar (Autor:in) / Qin, Si (Autor:in)

    Kongress:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Erschienen in:

    CICTP 2017 ; 805-811


    Erscheinungsdatum :

    18.01.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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