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基于模糊神经网络的交通信号控制
Traffic Signal Control Based on Fuzzy Neural Networks
【摘要】 介绍了运用神经网络模糊控制技术来实现智能交通灯的经典模糊控制。针对单交叉口信号控制的不足,做出相应的改进,提出了一个简单的相邻路口的协调控制方案,给出了改进的交通模糊控制系统框图。结果表明,采用多交叉口信号控制方法,可以增大多路口整体的车流辆,使整体交通控制效果变得更优一些。
【Abstract】 Introduction was made to apply neural networks fuzzy control technology to realize classical fuzzy control for intelligent traf- fic lamps.Aiming at the insufficient of single cross signal control,relevant improvements were made,to put forward a simple coordination control scheme of neighbouring crosses,and raise a traffic fuzzy control system frame diagram.The results show that to adopt multi-cross signal control method can increase multi-road crosses over-all vehicles to make entire traffic control effect much better.
【关键词】 模糊神经网络;
模糊控制;
智能交通;
交通信号;
【Key words】 fuzzy neural networks; fuzzy control; intelligent traffic; traffic signal;
【Key words】 fuzzy neural networks; fuzzy control; intelligent traffic; traffic signal;
【基金】 国家自然科学基金资助项目(60675058);福建省自然科学基金资助项目(A0510010)
- 【文献出处】 江苏电器 ,Jiangsu Electrical Apparatus , 编辑部邮箱 ,2008年04期
- 【分类号】TP183;U495
- 【被引频次】15
- 【下载频次】433