基于信息熵的降雪天气下城市道路车辆折算系数研究

为了准确计算降雪天气下城市道路的当量交通量,该文提出一种基于信息熵的车辆折算系数计算方法。首先,统计分析晴天和降雪天气时小汽车和SUV的车头时距分布差异;然后,在车头时距法的基础上,通过引入队列碰撞风险熵模型构建车辆折算系数计算方法;最后,通过VISSIM对该方法的准确性进行验证。结果表明,该方法的误差率小于车头时距法,并且在雪天场景下的误差率在5%以下。

In order to accurately calculate the equivalent traffic volume of urban roads in snowfall weather,a calculation method of vehicle conversion coefficient based on information entropy is proposed in this paper.First of all,the difference of the time distance distribution between the car and SUV in sunny and snowy weather is statistically analyzed;then,on the basis of the front time distance method,the calculation method of vehicle conversion coefficient is constructed by introducing the queue collision risk entropy model;finally,the accuracy of the method is verified by VISSIM.The results show that the error rate of this method is less than that of the headway method,and the error rate is less than 5%in the snow scene.