【摘要】 为分析驾驶人在雾天环境下的车辆操纵行为特性及其与追尾风险的内在关系，设计并开展驾驶模拟试验，采用方差分析，混合效应模型等对晴天、雾天2种环境下驾驶人的车辆操纵行为特性进行对比分析，并利用相关性分析及二元Logistics回归模型对避撞过程中行为间的相互作用及其与追尾风险间的关系进行挖掘。结果表明：雾天环境下驾驶人的车道偏移标准差比晴天环境下大20.8%，表明雾天环境下驾驶人的车辆保持能力较差；同时，驾驶人在雾天环境下为持续获得前车视野保持的车头时距比晴天条件下小0.423 s；雾天时驾驶人在追尾避撞阶段的平均减速度是晴天时的1.1倍；受到初始车头时距的影响，雾天时驾驶人在避撞过程中的最小车头时距相较于晴天减少了0.475 s，此时最小车头时距的减少导致雾天环境下发生追尾碰撞的风险较于晴天环境增加了4.93倍。更多还原

【Abstract】 In order to analyze the characteristics of vehicle control behaviors and study its relationship with rear-end collision risk under foggy conditions,a driving simulationexperiment is conducted,and corresponding behaviors under foggy weather is compared with that under good visibility using ANONA and mixed-effect regression model. Further,the relationship between vehicle control behavior and rear-end collision risk is investigated by correlation analysis and a binary logistic regression model. The results show that the standard deviations of lane departure under foggy conditions are 20.8% higher than that under good visibility conditions,indicates poor vehicle control of drivers under foggy conditions. Besides,drivers prefer to keep shorter time headway,in order to maintain a good vision to the vehicles in front under foggy weather. It is also found that,during the process of avoiding rear-end collision,average deceleration underfoggy weather is 1.1 times of that under good weather. Moreover,study results show that the average minimum time headway under foggy conditions is 0.475 s shorter than that undergood visibility conditions,which results in the rear-end collision risk increases by 4.93 times.更多还原