| 基于模糊神经网络的交通信号控制 |
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| 引用本文： | 邱伟康,王伟智. 基于模糊神经网络的交通信号控制[J]. 江苏电器, 2008, 0(4): 22-27 |
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| 作者姓名： | 邱伟康 王伟智 |
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| 作者单位： | 福州大学自动化研究所,福建,福州,350002 |
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| 基金项目： | 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) |
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| 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。
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| 关 键 词： | 模糊神经网络 模糊控制 智能交通 交通信号 |
| 文章编号： | 1007-3175(2008)04-0022-05 |
| 修稿时间： | 2008-01-08 |
Traffic Signal Control Based on Fuzzy Neural Networks |
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| QIU Wei-kang,WANG Wei-zhi. Traffic Signal Control Based on Fuzzy Neural Networks[J]. , 2008, 0(4): 22-27 |
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| Authors: | QIU Wei-kang WANG Wei-zhi |
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| Affiliation: | (Institute of Automation, Fuzhou University, Fuzhou 350002, China) |
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| 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. |
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| Keywords: | fuzzy neural networks fuzzy control intelligent traffic traffic signal |
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