Journal of Changshu Institute of Technology2012，Vol.26Issue(2)：86-90,5.
RBF神经网络在道路交通事故预测中的应用
A Forecasting Model for Road Traffic Accident Based on RBF Neural Networks
孟杰 1吕正兵1
作者信息
- 1. 常熟理工学院机械工程学院,江苏常熟215500
- 折叠
摘要
Abstract
The characteristic of road traffic accident is first analyzed, and the usua｜ memous Ior researct, on it are generally introduced. And based on checking the advantage of RBF Neural Networks on handling the highly non-linear problems, a forecasting model utilizing RBF Neural Networks is put forward. By means of the traffic ac- cident data of the years from 1990 to 2009 in China, a forecast model using RBF Neural Networks is built to pre- dict the traffic accidents occurring in the years from 2000 to 2010 and the result shows that the model has high re-liance and can provide fundamental data for the road traffic management of the administrative department.关键词
事故预测/道路交通事故/RBF神经网络/非线性回归/预测模型Key words
accident forecasting/road traffic accident/RBF neural networks/non-linear regression/forecastingmodel分类
交通工程引用本文复制引用
孟杰,吕正兵..RBF神经网络在道路交通事故预测中的应用[J].Journal of Changshu Institute of Technology,2012,26(2):86-90,5.
