交通运输工程与信息学报Issue(3)：35-39,57,6.
基于BPNN的高速公路风雨天气限速系统的设计
Design of Highway Speed-control System Under Stormy Weather Based on BPNN
摘要
Abstract
This study adopted the BP neural network technology to design a highway speed control system for stormy weather. First, the experienced drivers determined the values of “safe speed limit” which was used as the expert samples according to their experience and based on the on-site traffic environment and the real-time weather indicators. The expert samples were used to train the neural network. Then, by applying the“fitting error”method, a small number of abnormal expert samples were excluded to improve the prediction accuracy of the neural network. The practical results showed that by adopting the neural network to intelligently control the highway speed according to the weather indicators, it was unnecessary to derive the mathematical models any more. The operating efficiency is much higher while the cost is much lower, and hence, this system can be easily promoted.关键词
高速公路/交通安全/可变限速板/BP神经网络Key words
Highway/traffic safety/variable speed-limit board/BP neural network分类
交通工程引用本文复制引用
林春水,林宇洪,郭建钢..基于BPNN的高速公路风雨天气限速系统的设计[J].交通运输工程与信息学报,2013,(3):35-39,57,6.基金项目
福建省教育厅科研项目（JA09064）资助。 （）
