The purpose of this study is to investigate the impact of the truck proportion on surrogate safety measures to explore the relationship between truck proportion and traffic safety. The relationship between truck proportion and traffic flow parameters was analyzed by correlation and partial correlation analysis, and the value of the 85th percentile speed minus the 15th percentile speed (85%V–15%V) and the speed variation coefficient were selected as surrogate safety measures to explore the impact of truck proportion on traffic status. The k-means algorithm and the support vector machine were employed to evaluate traffic status on a freeway under different truck proportions in different periods. The major results are that the relationship between truck proportion and the value of 85%V–15%V and the speed variation coefficient is consistent in different aggregation periods. With increasing truck proportion, the value of 85%V–15%V, as well as the speed variation coefficient, increases initially and then decreases. In addition, the traffic flow status tends to be dangerous when the truck proportion ranges from 0.4 to 0.6 and when the value of 85%V–15%V and the speed variation coefficient are above 42 km/h and 0.223, respectively. While the truck proportion is from 0.1 to 0.3 and from 0.7 to 0.9, the traffic flow is relatively safe on the condition that the value of 85%V–15%V and the speed variation coefficient were under 42 km/h and 0.223, respectively. Therefore, the relationship between truck proportion and traffic safety could be well revealed by two surrogate safety measures, that is, the value of 85%V–15%V and the speed variation coefficient. In addition, the k-means algorithm and the support vector machine can well reveal the impact of truck proportion on traffic safety in different periods. The findings of this study indicate a need for decreasing the disturbance of mixed traffic and the impact of the truck proportion on traffic safety status.


    Access

    Download


    Export, share and cite



    Title :

    The Impact of Truck Proportion on Traffic Safety Using Surrogate Safety Measures in China


    Contributors:
    Shengdi Chen (author) / Shiwen Zhang (author) / Yingying Xing (author) / Jian Lu (author) / Yichuan Peng (author) / H. Michael Zhang (author)


    Publication date :

    2020




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Surrogate Safety Measures from Traffic Simulation Models

    Gettman, Douglas | Online Contents | 2003


    Surrogate Safety Measures from Traffic Simulation Models

    Gettman, Douglas / Head, Larry | Transportation Research Record | 2003



    Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures

    Mark Mario Morando / Qingyun Tian / Long T. Truong et al. | DOAJ | 2018

    Free access