摘要
针对城市交叉路口交通信号控制问题,提出了车流阻塞参数的定义,设计了基于模糊神经网络的智能控制方法。仿真实验结果表明,通过对交叉路口的车流量进行合理的优化控制,可以使道路通畅,提高交通效益,使之达到令人满意的结果。
In this article, the definition of vehicles blocking parameter is proposed, and an intelligent control method based on the fuzzy neural network in view of the intersection traffic signal control problem is designed. The simulation experiment result indicates that, by optimized controlling to the intersection traffic flow magnitude, it may make the path unobstructed, enhance the transportation benefit and achieve satisfactory result.
出处
《农业装备与车辆工程》
2007年第8期45-47,50,共4页
Agricultural Equipment & Vehicle Engineering
关键词
模糊神经网络
交叉路口
交通流
fuzzy neural network
intersection
traffic flow
