Journal of Guangdong University of Technology ›› 2008, Vol. 25 ›› Issue (3): 95-99.

• Comprehensive Studies • Previous Articles    

Model of Road Traffic Accidents in Guangdong Province Based on Neural Network

  

  1. College of Automobile,School of Guangdong Communication Polytechnic,Guangzhou 510650,China
  • Online:2008-07-01 Published:2008-07-01

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Abstract: Based on the historic statistic data of road traffic accidents in Guangdong Province,the neural network model of road traffic accidents in Guangdong Province is set up by using BP and Elman neural network model.Moreover the model’s calculation was executed by means of Matlab software,and the calculation results were analyzed.The results indicate that the model is effective.

Key words: road traffic accident； BP neural network model； Elman neural network model；

[1] 李晓娟,丁艺,岳小泉,黄晓婷.  基于BP神经网络的道路交通事故损失预测[J]. 森林工程. 2006(05)

[2] 李俊辉,邓文.  基于B-P神经网络的道路交通事故微观预测模型[J]. 道路交通与安全. 2006(07) [3] 李娟,邵春福.  基于BP神经网络的交通事故预测模型[J]. 交通与计算机. 2006(02)

[4] 沈斐敏,陈伯辉,雷兢.  基于人工神经网络的时间序列交通事故预测[J]. 福建工程学院学报. 2005(04)

[1] 飞思科技产品研发中心编著.神经网络理论与MATLAB 7实现[M]. 电子工业出版社, 2005

[2] 广东省统计局编.广东省统计年鉴[M]. 中国统计出版社, 1987
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