基于车辆行驶轨迹的驾驶人追尾碰撞风险分析（英文）

发布时间：2018-04-02 15:16

本文选题：追尾风险　切入点：非专业驾驶人　出处：《Journal of Southeast University(English Edition)》2017年02期

【摘要】：以探究专业及非专业驾驶人追尾碰撞风险影响因素为目的,通过采集真实道路环境下专业及非专业驾驶人跟驰行为轨迹数据,基于碰撞时间提出了表征追尾碰撞风险程度的追尾碰撞风险概率计算方法.利用单因素方差分析法对专业与非专业驾驶人追尾碰撞风险进行对比分析,并分别建立了专业与非专业驾驶人追尾碰撞风险模型,以识别专业与非专业驾驶人追尾碰撞风险影响因素,此外,基于累计残差法检验了模型的拟合优度.结果表明,专业及非专业驾驶人追尾碰撞风险存在显著差异.交通量、车道数及性别对非专业驾驶人追尾碰撞风险影响显著,而专业驾驶人追尾碰撞风险受车辆速度和交通显著影响.基于现有实验数据建立的驾驶人追尾碰撞风险模型具有较高的拟合优度.
[Abstract]:In order to explore the risk factors of rear-end collision between professional and non-professional drivers, we collected the track data of trailing behavior of professional and non-professional drivers in real road environment.Based on the collision time, a method to calculate the risk probability of rear-end collision is proposed.This paper makes a comparative analysis of the collision risk between professional and non-professional drivers by using single factor variance analysis method, and establishes the risk model of rear-end collision between professional and non-professional drivers, respectively.In order to identify the influencing factors of the collision risk between professional and non-professional drivers, the goodness of fit of the model is tested based on the cumulative residual method.The results show that there are significant differences between professional and non-professional drivers.Traffic volume, lane number and sex had significant effects on the risk of rear-end collision of non-professional drivers, while the risk of rear-end collision of professional drivers was significantly affected by vehicle speed and traffic.The model based on the existing experimental data has a high degree of goodness of fit.
【作者单位】：东南大学交通学院;
【基金】：The National Natural Science Foundation of China(No.51478110)
【分类号】：U491.25

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