Fusing moving average model and stationary wavelet decomposition for automatic incident detection:case study of Tokyo Expressway

查看全文 作　　者：Qinghua [1,2]Liu;Edward [3]Chung;Liujia [1]Zhai 机构地区：[1]School of Computer Science and Engineering,Jiangsu University of Science and Technology;[2]School of Transportation Engineering,Tongji University;[3]Smart Transport Research Centre,Queensland University of Technology,Brisbane,Queensland,Australia 出　　处：《Journal of Traffic and Transportation Engineering(English Edition)》索引2014年第1卷第6期,共11页 基　　金：supported by Jiangsu Provincial Government Scholarship;the National Natural Science Foundation of China(No.51008143) 摘　　要：Traffic congestion is a growing problem in urban areas all over the world.The transport sector has been in full swing event study on intelligent transportation system for automatic detection.The functionality of automatic incident detection on expressways is a primary objective of advanced traffic management system.In order to save lives and prevent secondary incidents,accurate and prompt incident detection is necessary.This paper presents a methodology that integrates moving average(MA)model with stationary wavelet decomposition for automatic incident detection,in which parameters of layer coefficient are extracted from the difference between the upstream and downstream occupancy.Unlike other wavelet-based method presented before,firsdy it smooths the raw data with MA model.Then it uses stationary wavelet to decompose,which can achieve accurate reconstruction of the signal,and does not shift the signal transfer coefficients.Thus,it can detect the incidents more accurately.The threshold to trigger incident alarm is also adjusted according to normal traffic condition with congestion.The methodology is validated with real data from Tokyo Expressway ultrasonic sensors.Experimental results show that it is accurate and effective,and that it can differentiate traffic accident from other condition such as recurring traffic congestion. 关 键 词：静态小波分解 事件检测 自动检测 移动平均线 高速公路 平均模型 东京 案例