Comprehensive Evaluation Approach of Road Traffic Safety Based on Artificial Neural Network
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摘要: 为了提高评价的准确性,采用人工神经网络技术,建立了基于BP神经网络的道路交通安全综合评价模型.通过有效样本的学习,应用该模型,实现了对道路交通安全专家知识和经验的提取和存储.仿真实例验证了基于人工神经网络的道路交通安全综合评价模型的合理性和有效性.Abstract: To enhance the validity of evaluation,based on ANN(artificial neural network),a comprehensive evaluation model of the safety of road traffic based on BP(back propagation) neural network was built.By the learning of some effective samples given,the extraction and storage of experts’ knowledge and experiences were realized with this model.Two simulation examples show that the proposed comprehensive evaluation model of road traffic safety based on BP neural network is reasonable and feasible.
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Key words:
- traffic safety /
- comprehensive evaluation /
- artificial neural network
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蔡良斌.道路交通安全宏观评价[J].公路交通科技,1991,8(1):36.CAI Liangbin.Macroscopic evaluation of road traffic safety[J].Journal of Highway and Transportation Research and Development,1991,8(1):36.[2] 罗江涛,刘小明,任福田.道路交通安全灰色评价方法研究[J].中国公路学报,1995,8(4):78-83.LUO Jiangtao,LIU Xiaoming,REN Futian.The gray evaluation of road traffic safety[J].China Journal of Highway and Transport.1995,8(4):8-83.[3] 李相勇,蒋葛夫.城市道路服务水平的模糊综合评判[J].交通运输系统工程与信息,2002,2(3):49.LI Xiangyong,JIANG Gefu.Fuzzy comprehensive assessment of service level for urban roads[J].Communication and Transportation Systems Engineering and Information.2002,2 (3):49.[4] 靳蕃.神经计算智能基础原理方法[M].成都:西南交通大学出版社,2000:136.[5] 罗江涛,刘小明,任福田.北京市道路交通安全分析及评价[J].中国公路学报,1995,8(增1):137-142.LUO Jiangtao,LIU Xiaoming,REN Futian.Traffic safety analysis and evaluation of Beijing area[J].China Journal of Highway and Transport.1995,8 (s 1):137-142.[6] 公安部交通管理局.全国道路交通事故统计资料汇编[M].北京:群众出版社,1993:45-91.[7] 河南统计局编.河南经济年鉴1992[M].北京:中国统计出版社,1992:452.
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