The Application of BP Neural Network principal component analysis in the Forecasting the Road Traffic Accident

摘要：

According to complexity and comprehensibility of factors which affect road traffic safety,we use the method of principal component analysis to refine new factors which are linearly independent,then we forecast road traffic accident according to principal component by BP neural network simulation,analyse the relationship between traffic accident evaluating index and the causes of traffic accident,including people,vehicles,road and environment.At last we applied the method to a case,from the simulated result we can infer that the method of BP neural network simulation principal component analysis is superior to multinomial fitting and BP neural network simulation in the efficiency and precision.

关键词： road traffic accident forecasting BP neural network principal component analysis

作者: He Ming Guo Xiucheng

作者单位: College of Transportation Southeast University Nanjing,China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 107-111

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）