| 基于人工神经网络的运行车速与道路安全性关系 |
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| 引用本文： | 孔令旗,郭忠印.基于人工神经网络的运行车速与道路安全性关系[J].同济大学学报(自然科学版),2007,35(9):1214-1218. |
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| 作者姓名： | 孔令旗 郭忠印 |
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| 作者单位： | 同济大学,道路与交通工程教育部重点实验室,上海,200092 |
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| 摘 要： | 通过实测中国高速公路车辆运行车速并分析其道路事故特征,提出了使用运行车速以及相邻路段运行车速差预测道路安全性的概念,并运用反向传输网络(BP网络)较强的非线性适应能力,采用多层BP网络,建立了基于人工神经网络的运行车速与道路安全性关系模型.使用训练后模型测试部分实测路段安全性,取得了较好的结果,为高速公路的道路安全性评价提供了一种较为可行的方法.
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| 关 键 词： | 道路安全 高速公路 运行车速 相邻路段车速差 反向传输网络(BP网络) |
| 文章编号： | 0253-374X（2007）09-1214-05 |
| 修稿时间： | 2005-12-30 |
Artificial Neural Network-Based Relation of Operating Speed and Road Safety |
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| KONG Lingqi,GUO Zhongyin.Artificial Neural Network-Based Relation of Operating Speed and Road Safety[J].Journal of Tongji University(Natural Science),2007,35(9):1214-1218. |
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| Authors: | KONG Lingqi GUO Zhongyin |
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| Institution: | Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China |
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| Abstract: | The concept of predicting road safety condition through the speed difference between adjacent sections is advanced on the basis of the measurement of freeway operating speed and the analysis of accident character in China.A multiplayer back-propagation network with robust nonlinear adaptability is adopted to establish a model on the relation between operating speed and traffic safety based on Artificial Neural Network(ANN).The tested ANN model proves feasible and effective in appraising the safety level of road section.Such a model will serve as a reliable and practicable method to evaluate freeway safety. |
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| Keywords: | road safety freeway operating speed speed difference of adjacent section back-propagation network |
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