基于环形线圈检测器采集信息的交通状态分类方法应用研究

Application Research of Traffic State Classification Method Based on Collected Information from Loop Detector

在智能交通系统中,交通状态判别算法通常被用来进行道路环境中实时交通状态的判断。这些算法将外场设备采集到的实时交通流数据与既有的交通状态分类标准特征作比较,来识别交通系统运行的状态。应用聚类分析方法,结合数据预备技术和交通工程技术,对环形线圈监测系统采集的交通流基础特征数据进行挖掘,实现了一种交通状态分类方法,并对交通管理控制系统中实时交通状态的判断识别提供可靠的参照标准。

In an intelligent transportation management system, every kind of algorithms are usually used to recognize real- time traffic state. Traffic flow data will be often compared with a given traffic state classification standard, thus the real-tlme traffic state will be detected. With the clustering analysis method, data preparation technology and traffic engineering technology, this article focuses on application research of traffic state classification method based on collected information from loop detector system. This traffic state chssification method provides a nice reference to real time traffic state recognition of the transportation management and control.