| 基于神经网络算法的高速公路基本路段线圈检测器布设间距研究 |
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| 引用本文： | 方青.基于神经网络算法的高速公路基本路段线圈检测器布设间距研究[J].道路交通与安全,2010(3):20-24. |
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| 作者姓名： | 方青 |
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| 作者单位： | 同济大学交通运输工程学院,上海201804 |
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| 基金项目： | 国家高技术研究发展计划(八六三计划)资助项目(2009AA11Z220) |
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| 摘 要： | 为研究高速公路交通事件检测算法及线圈检测器布设间距,设计了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在200～700m不同情况下的事件检测效果。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,验证了所设计事件检测算法的有效性,得出基本路段线圈检测器的合理布设间距。
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| 关 键 词： | 自动交通事件检测 检测器布设间距 人工神经网络 VISSIM Matlab |
Study on the Coil Detector Distribution of Basic Freeway Section Based on Arficial Neural Network |
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| Fang Qing.Study on the Coil Detector Distribution of Basic Freeway Section Based on Arficial Neural Network[J].Road Traffic & Safety,2010(3):20-24. |
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| Authors: | Fang Qing |
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| Institution: | Fang Qing(School of Transportation Engineering,Tongji University,Shanghai 201804) |
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| Abstract: | To study the detection algorithm of freeway traffic incident and the distance of coil 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 ... |
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| Keywords: | automatic incident detection detector distance artificial neural network VISSIM Matlab |
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