摘要
为了获得全路网的实时动态交通流量信息,需要选择合适路段来配置交通检测器,并由安装检测器的路口来预测未安装检测器路口的交通量.文中根据城市路网中路段交通流量的相关性,运用基于数据融合的统计分析技术——聚类分析方法和逐步回归方法,对城市道路交通检测器优化配置的方法进行了研究.实例分析证实,这为检测器空间优化配置提供了一种简单可行的方法,并为交通数据采集的科学性、实用性提供了保证.
It＇s necessary to choose an appropriate sections to allocate road traffic detector, in order to obtain the dynamic traffic information of entire roads in the real time, and predict the traffic of junctions which have no detectors. This paper studied the spatial distribution of detectors on urban roads, which based on traffic correlation between junctions in the road network,and statistical analysis technology based on data fusion-cluster analysis and stepwise regression method. Analysis confirmed that this method is effective to optimize the detectors＇ special distribution, and it provided a guarantee for the scientific and practicability of traffic data collection.
出处
《武汉理工大学学报（交通科学与工程版）》
2008年第6期1161-1164,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
关键词
交通控制
检测器优化配置
数据融合
模糊聚类
逐步回归
traffic control
detector optimal allocation
data fusion
fuzzy clustering
stepwise regression
