【摘要】 为了分析驾驶风格对不同跟驰场景下跟驰行为的影响，利用高逼真度驾驶模拟器设计晴天、雾天两种天气状况和自由流、拥挤流、阻塞流三种交通流状态组合的六类典型跟驰场景。以跟驰过程中的最大加速度、最大油门踏板受力、最大油门踏板受力速度作为指标，通过K-means聚类识别方法，对六类典型跟驰场景下不同驾驶风格的驾驶员进行聚类识别，并以跟车间距、车头时距为风险指标评价不同驾驶风格的驾驶员在六类典型跟驰场景下的跟驰风险。结果表明：六类典型跟驰场景下，不同驾驶风格驾驶员的跟驰行为存在明显差异；激进型驾驶风格驾驶员倾向保持更小的跟车间距和车头时距，跟驰过程中的碰撞风险更高；晴天和自由流场景下不同驾驶风格驾驶员跟驰行为差异性更加显著。更多还原

【Abstract】 To analyze the impact of driving styles on the car-following behavior in different car-following scenarios, a high-fidelity driving simulator was used to design six typical car-following scenarios by combining two weather conditions(clear and foggy)and three traffic flow states(free flow, congested flow, and blocked flow). The maximum acceleration, the maximum accelerator pedal force, and the maximum accelerator pedal force velocity were considered as indicators of the car-following driving behavior and the Kmeans clustering identification method was used to classify the different driving styles in six typical car-following scenarios, the headway and time-headway were used as risk indicators to evaluate the following risks of drivers with different driving styles under six typical car-following scenarios. The results show that there are significant differences in the car-following behavior of drivers with different driving styles in six typical following scenarios. Drivers with aggressive driving styles tend to maintain smaller following distances and headway, resulting in a higher risk of collisions during the following process. The differences in following behavior among drivers with different driving styles are more evident in sunny weather and free-flowing traffic scenarios.更多还原