基于多源信息融合的高速公路事件检测算法研究
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摘要
为了研究高速公路交通事件检测算法,以多源信息融合理论为基础,依托人工神经网络技术,设计了固定检测器与浮动车检测器的信息融合事件检测算法,并说明了具体的检测原理和融合过程。通过Vissim仿真获得数据,在Matlab中编程实现了信息融合过程,试验结果表明在三级报警策略下,信息融合算法的事件检测率、误报警率和平均检测时间都达到了较高的检测水平,证明了所设计的信息融合交通事件检测方法的优越性。
To study the detection algorithm of freeway traffic incident,this paper designed an information fusion detection algorithm of fixed and probe vehicles detectors based on multi-source information fusion theory and artificial neural network technology.It described the specific principles and integration process.Finally,this paper obtained the data by VISSIM and realized the process of information fusion in Matlab.The test results show that the incident detection rate,false alarm rate and mean detection time have reached a relatively high level in three-stage alarm strategy.Therefore,it proves the superiority of the information fusion traffic incident detection method.
To study the detection algorithm of freeway traffic incident,this paper designed an information fusion detection algorithm of fixed and probe vehicles detectors based on multi-source information fusion theory and artificial neural network technology.It described the specific principles and integration process.Finally,this paper obtained the data by VISSIM and realized the process of information fusion in Matlab.The test results show that the incident detection rate,false alarm rate and mean detection time have reached a relatively high level in three-stage alarm strategy.Therefore,it proves the superiority of the information fusion traffic incident detection method.
引文
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[2]易正俊.多源信息智能融合算法[D].重庆:重庆大学,2002
[3]黄鹍.基于智能技术的多源信息融合理论与应用研究[D].南京:东南大学,2004
[4]覃频频.基于信息融合的高速公路事件检测建模与仿真[D].成都:西南交通大学,2007
[5]Cheu R L,Neural network models for automateddetection of lane-blocking incidents on freeways[D].University of California,Irvine:Ph.D.Disser-tation,1994
[6]Jin X,Cheu R L,Srinivasan D.Development andadaptation of constructive probabilistic neural net-work in freeway incident detection[J].Transp.Res.(part C),2002,10(2):121-147
[7]Divid L,Donoho.De-Noising by soft-Thresholding.IEEE Transaction on information theory.1995,41(3):613-627
[8]JTG B01—2003.公路工程技术标准[S].北京:人民交通出版社,2004
[9]张彬彬.高速公路交通事件检测算法及检测器布设方案研究[D].长春:吉林大学,2005
[10]郑治真.小波变换及其MATLAB工具的应用[M].北京:地震出版社,2001
[11]闻新,周露,李翔,等.MATLAB神经网络仿真与应用[M].北京:科学出版社,2003
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