| 道路交通安全综合评价的人工神经网络方法 |
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| 引用本文： | 李相勇,田澎,蒋葛夫.道路交通安全综合评价的人工神经网络方法[J].西南交通大学学报,2006,41(4):496-500. |
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| 作者姓名： | 李相勇 田澎 蒋葛夫 |
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| 作者单位： | 1. 上海交通大学安泰经济管理学院,上海,200052
2. 西南交通大学交通运输学院,四川,成都,610031 |
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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.
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| 关 键 词： | 交通安全 综合评价 人工神经网络 |
| 文章编号： | 0258-2724（2006）04-0496-05 |
| 收稿时间： | 2005-09-25 |
| 修稿时间： | 2005-09-25 |
Comprehensive Evaluation Approach of Road Traffic Safety Based on Artificial Neural Network |
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| LI Xiangyong,TIAN Peng,JIANG Gefu.Comprehensive Evaluation Approach of Road Traffic Safety Based on Artificial Neural Network[J].Journal of Southwest Jiaotong University,2006,41(4):496-500. |
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| Authors: | LI Xiangyong TIAN Peng JIANG Gefu |
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| Institution: | 1. Aetna School of Management, Shanghai Jiaotong University, Shanghai 200052, China; 2. School of Traffic and Transp. , Southwest Jiaotong University, Chengdu 610031, China |
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| 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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| Keywords: | traffic safety comprehensive evaluation artificial neural network |
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