哈尔滨工程大学学报Issue(9)：1193-1198,1208,7.DOI:10.3969/j.issn.1006-7043.201211058
高速公路交通事件自动检测算法
Automatic incident detection algorithm for expressways
摘要
Abstract
In order to solve the problem of ineffective incident detection due to the severe shortage of traffic sensors for expressways in China , on the basis of analyzing toll data characteristics , an automatic incident detection algo-rithm using toll collection data was designed .The algorithm was based on standard normal deviation algorithm . First, in order to reduce the false alarms caused by traffic fluctuations , this paper proposed a traffic data synthetic method based on rolling time series .On the basis of the first step , in order to reduce the false alarms caused by re-curring congestion , this paper proposed a modification by comprehensively considering the horizontal time series and the longitudinal time series of traffic parameter data .Furthermore , in order to reduce the false alarms caused by detection logic of the algorithm itself , this paper proposed an improved scheme based on the standard deviation val-ue of traffic parameters and the current traffic flow minus the mean in the data analyzing time window .The proposed algorithm was tested with field data collected from the Hu-Hang-Yong Expressway in China .The test and compari-son analysis results indicate that at the same false alarm rate level , the detection rate of the proposed algorithm is significantly better than the standard normal deviation algorithm , the mean time of detection is basically equivalent to that of the standard normal deviation algorithm .Moreover , the proposed algorithm has very strong robustness .关键词
交通运输系统工程/交通事件自动检测/收费数据/标准偏差法Key words
traffic and transportation engineering/automatic incident detection/toll collection data/standard devia-tion algorithm分类
交通工程引用本文复制引用
李琦,姜桂艳..高速公路交通事件自动检测算法[J].哈尔滨工程大学学报,2013,(9):1193-1198,1208,7.基金项目
国家自然科学基金资助项目（51278257）；高等学校博士学科点专项科研基金资助项目（20110061110034）；浙江省自然科学基金资助项目（ LY12F01013）． （）
