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Safety Performance Evaluation of a Three-Leg Unsignalized Intersection Using Traffic Conflict Analysis

机译:基于交通冲突分析的三腿无信号交叉口安全绩效评估

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摘要

Traffic conflicts were used to evaluate safety performance of a three-leg unsignalized intersection. With the aid of a video camera, data were collected at the intersection and 15-second time span was used in each observation to overcome the drawbacks of traditional methods of traffic conflict analysis. Time to collision (TTC), a widely accepted indicator, was used to identify whether an interaction between two vehicles was a traffic conflict. By using Poisson regression, a prediction model for traffic conflicts at the intersection was developed. Based upon the model, assuming that other factors remain constant, when time headway or speed of eastbound traffic on major road, which is crossed by left-turning traffic from minor road, increases, the number of traffic conflicts at the intersection decreases. When volume of left-turning traffic on minor road or speed of left-turning vehicles on minor road increases, the number of traffic conflicts at the intersection increases if other factors remain constant. Explanations for the influence of the factors, which were represented by independent variables of the prediction model, were then analyzed in detail.
机译:交通冲突用于评估三路无信号交叉口的安全性能。借助摄像机,在十字路口收集了数据,每次观察都使用了15秒的时间跨度,以克服传统交通冲突分析方法的缺点。碰撞时间(TTC)是一种被广泛接受的指标,用于识别两辆车之间的互动是否是交通冲突。通过使用泊松回归,建立了十字路口交通冲突的预测模型。基于该模型,假设其他因素保持不变,则当主要道路上的东行交通的时距或速度(由次要道路的左转交通交叉)时,交叉路口的交通冲突数量会减少。当次要道路上的左转交通量或次要道路上的左转车辆速度增加时,如果其他因素保持不变,交叉路口的交通冲突数量也会增加。然后详细分析了由预测模型的自变量表示的因素影响的解释。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|2948750.1-2948750.6|共6页
  • 作者单位

    Southeast Univ, Jiangsu Key Lab Urban ITS, Nanjing 210096, Jiangsu, Peoples R China|Southeast Univ, Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing 210096, Jiangsu, Peoples R China|Southeast Univ, Sch Transportat, Nanjing 210096, Jiangsu, Peoples R China;

    Southeast Univ, Jiangsu Key Lab Urban ITS, Nanjing 210096, Jiangsu, Peoples R China|Southeast Univ, Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing 210096, Jiangsu, Peoples R China|Southeast Univ, Sch Transportat, Nanjing 210096, Jiangsu, Peoples R China;

    Southeast Univ, Jiangsu Key Lab Urban ITS, Nanjing 210096, Jiangsu, Peoples R China|Southeast Univ, Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing 210096, Jiangsu, Peoples R China|Southeast Univ, Sch Transportat, Nanjing 210096, Jiangsu, Peoples R China;

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