Safety Evaluation of Traffic Accident Scene Based on Artificial Neural Network

摘要：

Traffic accident often induces traffic bottleneck and affects other vehicles driving. The lengthways region around accident scene becomes dangerous because of comprehensive traffic behaviors, such as lane changing, vehicle merging and vehicle following. In order to research the methods of management in traffic accident scene and avoid secondary accident, evaluation index system of safety in accident scene was established. Membership degree and dimensionless function were adapted to deal with quantitative and qualitative index. The three level BP neutral network model was developed to evaluate safety level in traffic accident scene. The results are shown that the evaluation index is logical and the conclusion is objective.

关键词： traffic safety traffic accident scene comprehensive evaluation artificial neutral network

作者: Zhang Wenhui Li Shengqin Wu Biao

作者单位: Traffic College,North East Forestry University Harbin, China Automobile Engineering Department, Heilongjiang Institute of Technology Harbin, 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: 408-410

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）