%0 Journal Article
%T Short-term traffic flow detection based on wavelet<br>基于小波分析的交通流量异常数据检测*
%A LI Zhi-min
%A YI Liang-you
%A XUE Ping
%A DAI Gao
%A XIE Xian-bao
%A <br>李志敏
%A 易良友
%A 薛平
%A 戴高
%A 谢仙宝
%J 计算机应用研究
%D 2011
%I 
%X For the bottleneck that traffic congestion had become a constraint to the development of urban economy and society, this paper proposed a solution to urban traffic congestion, with respect of the performance of traffic control system. By using the wavelet analysis to separate the high and low frequency components of traffic stream data, obtained the difference between the original signal and the reconstructed signal, found then outliers underlying in the data in combination with the least square method. It is confirmed from a number of experiments in actual roads that abnormal data in traffic flow can be detected precisely, which makes it possible to lower the rate of erroneous judgement and missing considerably and provide reliable data for practical traffic signal control system.
%K wavelet analysis
%K least squares method
%K traffic flow
%K outlier detection<br>小波分析
%K 最小二乘法
%K 交通流量
%K 异常检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F42CDCCA9D6DFA9C0281474E87798E0B&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=E8D8D9C05584612B&eid=B8EB5038D77D4BBF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=6