摘要
交通灯控制是智能交通系统的一个重要部分,针对我国中等城市交通流具有模糊性、复杂性的特点,将模糊逻辑和神经网络相结合,采用模糊隶属函数来描述车辆排队长度和绿灯时间,建立了模糊神经网络交通灯信号控制模型。利用神经网络等技术对交通系统进行全局优化调度,并在此基础上形成调度指令,利用模糊控制的方法实现交叉口的交通灯控制。
The control of traffic light is a very important part of ITS.In view of the complex and fuzzy trffic flow of medium-sized cities,fuzzy logic is combined with artificial neural network.The length of vehicle queue and green light are depicted by applying fuzzy membership functions.Then,the model of traffic light control based on fuzzy-neural network is built.Based on the vehicle counters,the whole system is optimized using neural network.With the command of the global optimization,the local traffic light is controlled using fuzzy control theory.
出处
《仪表技术》
2010年第9期32-33,36,共3页
Instrumentation Technology
关键词
交通灯
模糊神经网络
全局优化
traffic light
fuzzy-neural network
global optimization
