Study on traffic accidents prediction model based on RBF neural network

doi:10.3778/j.issn.1002-8331.2009.17.057

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (17): 188-190.DOI: 10.3778/j.issn.1002-8331.2009.17.057

• 工程与应用 • Previous Articles Next Articles

Study on traffic accidents prediction model based on RBF neural network

LIU Xiu-qing,WANG Xiao-yuan,YU Ren-de

School of Transportation and Automobile Engineering，Shandong University of Technology，Zibo，Shandong 255049，China

Received:2008-06-18 Revised:2009-03-06 Online:2009-06-11 Published:2009-06-11
Contact: LIU Xiu-qing

道路交通事故径向基神经网络预测模型研究

刘秀清,王晓原,宇仁德

山东理工大学交通与车辆工程学院，山东淄博 255049

通讯作者: 刘秀清

Abstract

Abstract: The propose of road traffic accident predication is to provide traffic safety trend transformation for road safety administrator institution.Based on the analysis of road traffic accident，a set of RBF neural network model which are applied to forecast traffic accident are presented.The RBF neural network model used to predict and extrapolate the number of death and economy lose of 2000~2006.The result shows the way is precise and feasible.

Key words: RBF neural network, traffic accident, predication, Matlab

摘要： 道路交通事故预测的目的是为交通管理部门提供未来交通安全的发展趋势。论文在进行交通事故统计的基础上，运用径向基神经网络理论，利用Matlab软件建立交通事故预测模型，对1990年至2006年的交通事故死亡人数和经济损失进行网络训练和外推预测。计算结果表明，该模型预测和外推精度高，可用于交通事故预测。

关键词: 径向基神经网络, 交通事故, 预测, Matlab

LIU Xiu-qing,WANG Xiao-yuan,YU Ren-de. Study on traffic accidents prediction model based on RBF neural network[J]. Computer Engineering and Applications, 2009, 45(17): 188-190.

刘秀清,王晓原,宇仁德. 道路交通事故径向基神经网络预测模型研究[J]. 计算机工程与应用, 2009, 45(17): 188-190.

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Study on traffic accidents prediction model based on RBF neural network

道路交通事故径向基神经网络预测模型研究

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