摘要
线圈检测器是车辆检测中使用最广泛的一种,但现有线圈检测器无法判别骑线车辆,严重影响车辆检测的准确性.文中从线圈检测器的检测原理入手,运用涡流效应分析激励频率对检测数据的影响,从而推导出相邻车道线圈检测器之间的数据换算公式.进而在相邻线圈检测数据互换的基础上,提出了一种基于分段时间序列模式匹配的骑线车辆线圈检测方法.该方法可有效判断经过车辆是否骑线行驶,提高了现有车辆检测器的检测准确性和数据可靠性.
Loop detector is one of the instruments that have been widely applied to vehicle detection. However, its accuracy is greatly affected because it fails to judge trans-line vehicles. In order to avoid the trouble, this paper analyzes the detection theory of loop detector and reveals the influence of the tested frequency on the collected data according to the eddy current effect, and then deduces the data conversion formula for the tested frequencies on adjacent lanes, according to which a valuable detection method to detect trans-line vehicles is proposed based on the segmented time series pattern matching. It is proved that the presented method can effectively detect trans-line vehicles and greatly improve the accuracy and reliability of vehicle detectors.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第7期20-24,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(50578064)
关键词
感应线圈
骑线车辆
涡流
时间序列模式匹配
inductive loop
trans-line vehicle
eddy current
time series pattern matching
