关键词: 交通工程, 不良天气, 交通流顺畅性, 跟驰行为, 驾驶模拟实验

Abstract: In recent years, adverse weather is frequent and has a greater impact on urban traffic flow. To analyze the effect of various kinds of adverse weather such as rain, snow and fog on the car-following behavior of straight line sections, an urban expressway scene was built by using driving simulation technology from the perspective of driving behavior. By using one-way ANOVA, the significance of headway time, headway spacing amplitude, minimum speed difference, maximum speed difference and acceleration of car-following was studied under different weather conditions, and then the influence of adverse weather on road traffic flow was studied by principal component analysis. The results show that there are significant differences in headway, headway spacing amplitude and minimum speed difference of car-following under different weather conditions. Generally, with the increase of weather severity, the vibration amplitude of headway and headway spacing increases and the minimum speed difference of car-following decreases. The order of influence of different weather conditions on traffic flow smoothness from big to small is in turn blizzard, heavy rain, violent rain, heavy fog, medium rain, fog, very heavy fog, heavy snow, light fog, light rain and sunny day.

Key words: traffic engineering, adverse weather, traffic flow’s smoothness, car-following behavior, driving simulation experiment