Prediction model of potential traffic conflicts at an uncontrolled intersection is a way of using traffic conflict technology to evaluate the safety performance in designing or improving future traffic facilities and road networks. In an existing potential traffic conflicts prediction model for unsignalized intersection, there is an important assumption that conflict spots are independent. However, according to field observation, as traffic volume increases, conflicts may be interrelated. As a result, it is necessary to consider three types and 60 combinations of conflicts’ correlations for an uncontrolled intersection to improve the existing prediction model. By using field traffic conflict data to perform statistical test, it is indicated that the vehicle conflict values calculated by the improved model are the unbiased estimations of observed conflicts values. The model also describes well the evolution trend of traffic conflict quantities according to traffic volumes at an unsignalized intersection.


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    Titel :

    Potential Traffic Conflict Prediction Model Considering Interaction of Conflict Spots at an Unsignalized Intersection


    Beteiligte:
    Wang, Yan (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2017 ; 4954-4967


    Erscheinungsdatum :

    2018-01-18




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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