| 事故多发点鉴别及其成因分析 |
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| 引用本文： | 孟祥海,黄宝安,宋春花.事故多发点鉴别及其成因分析[J].交通与计算机,2009,27(3):108-111,128. |
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| 作者姓名： | 孟祥海 黄宝安 宋春花 |
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| 作者单位： | 哈尔滨工业大学,哈尔滨,150090 |
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| 摘 要： | 对比分析了事故多发点鉴别及其成因方法，归纳总结了各种方法的优缺点及适用条件。提出了基于BP神经网络的高速公路事故多发点鉴别方法，并应用实际高速公路交通事故数据，标定了网络的权值矩阵和偏置向量，该方法能有效解决矩阵法中人为确定边界的不足。针对事故多发点的突出事故诱导因素问题，提出了基于动态模糊聚类的多发点成因分析方法，该方法能将众多的事故诱导因素聚类为从主要原因到隐患原因等4个类别，进而得出较客观的成因分类结果。
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| 关 键 词： | 交通工程 事故多发点鉴别 成因分析 神经网络 动态模糊聚类 高速公路 |
Hazardous Locations Identification and Causes Analysis |
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| MENG Xianghai,HUANG Baoan,SONG Chunhua.Hazardous Locations Identification and Causes Analysis[J].Computer and Communications,2009,27(3):108-111,128. |
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| Authors: | MENG Xianghai HUANG Baoan SONG Chunhua |
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| Institution: | Harbin Institute of Technology;Harbin 150090;China |
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| Abstract: | The hazardous locations and the causes were compared and analyzed.The advantages,limitations,and conditions of each method were summed up.Then,a method to identify the hazardous locations based on BP neural network was established,which can overcome the limit of artificial boundary determination in matrix method.The weights and biases of the BP network were demarcated according to the data of accidents occurred on freeways.Furthermore,a method to analyze the accident causes based on dynamic fuzzy cluster wa... |
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| Keywords: | traffic engineering hazardous locations identification causes analysis neural network dynamic fuzzy cluster freeway |
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