基于信息熵的降雪天气下城市道路车辆折算系数研究  

作　　者：曾科 逯兆友 胡翼 丁乃侃[1] 

机构地区：[1]武汉理工大学智能交通系统研究中心,武汉430063 [2]武汉智安交通科技有限公司,武汉430013 [3]武汉工程大学土木工程与建筑学院,武汉430074 [4]华南理工大学土木与交通学院,广州510640

出　　处：《科技创新与应用》2023年第17期22-25,共4页Technology Innovation and Application

摘　　要：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.

关 键 词：城市道路 车辆折算系数 降雪天气 信息熵 交通仿真 

分 类 号：U491[交通运输工程—交通运输规划与管理]