高速公路交通畅通性判别研究  

Research on Traffic Smoothness Discrimination of Freeway

作　　者：许宏科[1] 陈丽容 郜周琪 XU Hongke;CHEN Lirong;GAO Zhouqi(School of Electronic and Control Engineering,Chang′an University,Xi′an 710064)

机构地区：[1]长安大学电子与控制工程学院,西安710064

出　　处：《公路交通技术》2022年第2期139-145,共7页Technology of Highway and Transport

基　　金：陕西省重点研发项目(2019GY-002)。

摘　　要：在客货混行尤其是货车占比较大的高速公路运行过程中,货车比例对于交通状态判别有着较大的影响。为了更加准确地判别高速公路基本路段的交通状态,构建了一种基于车速的估算模型,并考虑货车比例因素的交通状态判别方法。以西安市绕城高速某路段进口处的实测交通量为数据流,采用VISSIM仿真软件进行仿真分析,以获取不同货车比例及交通流参数的数据集;基于该数据集建立了多元线性回归的平均行程车速估算模型,将模型的输出结果与交通状态划分标准进行对比,得到当前时刻的交通状态,从而实现交通状态判别。研究结果表明:与传统判别的断面均值法相比,考虑货车比例因素的交通状态判别效果良好,可用于研究高速公路交通状态判别。In the mixed passenger and freight traffic,especially the traffic with a large proportion of trucks,the proportion of trucks has a great impact on the discrimination of traffic state.In order to accurately distinguish the traffic state of the basic section of freeway,an estimation model based on speed and a traffic state discrimination method considering the proportion of trucks are constructed.Taking the measured traffic volume at the entrance of a section of Xi′an freeway around the city as the data flow,the VISSIM simulation software is used for simulation analysis to obtain the data sets of different truck proportions and traffic flow parameters.Based on this data set,the average travel speed estimation model of multiple linear regression is established.By comparing the output results of the model with the traffic state division standard,the current traffic state is obtained,and thus realize the traffic state discrimination.The results show that the traffic state discrimination effect of considering the proportion of trucks is good,compared with the traditional cross-section mean method,which can be used to study the freeway traffic state discrimination.

关 键 词：交通状态判别 多元线性回归 高速公路 货车比例 交通流参数 

分 类 号：U491.2[交通运输工程—交通运输规划与管理]