| 基于GA-BP神经网络算法和粗糙集理论的交通事故黑点模型 |
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| 引用本文： | 李巧茹,程长广,陈亮.基于GA-BP神经网络算法和粗糙集理论的交通事故黑点模型[J].武汉理工大学学报(交通科学与工程版),2011(4). |
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| 作者姓名： | 李巧茹 程长广 陈亮 |
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| 作者单位： | 河北工业大学土木工程学院;河北省土木工程技术研究中心; |
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| 基金项目： | 河北省科技厅科技攻关项目资助(批准号:062135138) |
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| 摘 要： | 道路交通事故黑点的预测鉴别是改善道路交通安全状况最重要、最关键的一步,采用基于GA-BP神经网络算法与粗糙集理论相结合的方法建立交通事故黑点预测模型.分析天津市津围公路的交通事故统计数据,通过GA-BP神经网络算法建立静态单元,考虑静态道路状况,分析得出道路的事故黑点样本.考虑实时动态道路交通环境条件的影响,并利用粗糙集理论建立有效的交通道路事故黑点预测模型,2种理论的有机结合,减少糙杂繁冗的数据量,降低伪报警率,提高事故黑点的预报精度,并通过实例进行实证分析.
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| 关 键 词： | 交通事故黑点 遗传算法 BP神经网络 粗糙集 属性重要度 |
Traffic Accident Predictive Model Based on GA-BP Neural Networks Algorithm and Rough Set Theory |
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| Li Qiaoru, Cheng Changguang Chen Liang,.Traffic Accident Predictive Model Based on GA-BP Neural Networks Algorithm and Rough Set Theory[J].journal of wuhan university of technology(transportation science&engineering),2011(4). |
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| Authors: | Li Qiaoru Cheng Changguang Chen Liang |
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| Institution: | Li Qiaoru1,2) Cheng Changguang1) Chen Liang1,2)(College of Civil Engineering,Hebei University of Technology,Tianjin 300401,China)1) (Civil Engineering Technology Research Center of Hebei Province,China)2) |
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| Abstract: | Prediction and identification of traffic accident black spot is the most important and critical step to improve road traffic safety.A new prediction model of traffic accident black spots is proposed based on GA-BP neural network algorithm and rough set theory.First,the traffic accident statistics of Jinwei Road in Tianjin are analyzed.With consideration of static road conditions,the samples of road accident black spots are obtained by the GA-BP neural network algorithm.Furthermore,an effective road traffic ... |
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| Keywords: | traffic accident black spots genetic algorithm BP neural network rough set attribute importance |
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