摘要
为研究高速公路交通事件检测算法及固定检测器布设间距,设计高速公路基本路段的人工神经网络事件检测算法,并研究基本路段检测器布设间距为200～700m时,使用不同情况的事件来检测效果。利用VISSIM4.2软件仿真获得数据,并在MATlab人工神经网络工具箱中计算,验证所设计的事件检测算法的有效性,得出基本路段固定检测器的合理布设间距。
To study the detection algorithm of freeway traffic incident and the distance of fixed detectors,this paper has designed the artificial neural network incident detection algorithm of the basic sections.Furthermore,it has researched the distance of detectors in basic sections when it changed in the scope of 200 meter to 700 meter.Finally,it obtained the data in the use of VISSIM4.2 simulation software,then calculated it in the toolbox of Matlab artificial neural network.The results verified the effectiveness of incident detection algorithm,and obtained the reasonable distance in basic sections and the fair location of the fixed detectors at the ramps sections.
出处
《交通科技与经济》
2010年第6期1-4,共4页
Technology & Economy in Areas of Communications
基金
国家863计划资助项目(2009AA11Z220)
