摘要
高速公路汽车追尾是一种严重的交通安全事故 ,引起了交通科技界的广泛重视 .近几年来 ,人们试图从理论与技术上解决高速公路汽车追尾问题 ,其中建立追尾的数学模型是研究追尾现象的基础 .文中在分析了汽车追尾的原因后 ,基于神经网络理论 ,建立了追尾的 BP网络模型 ,并讨论了追尾预测系统的技术实现方案 .
Car tracing cauda is a bad traffic safety accident in speedway.More and more people pay attention to it. In recent years people try to solve car elude tracing cauda in theories and technologies. And Building tracing cauda model is the fundation for studing car tracing cauda. After analyzing causation of car tracing cauda, and with the neural network theory, this paper gives backpropagation neural network model for solving it, and disccuses a technic scheme for car tracing cauda prediction system,simulation shows the BP neural network model is acceptable.
出处
《武汉交通科技大学学报》
2000年第1期25-28,共4页
Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金
交通部重点科技项目基金
关键词
汽车
追尾模型
BP神经网络
预测
交通安全事故
car tracing cauda
tracing model
backpropagation network
car tracing cauda prediction
