| 一种基于自适应模糊神经网络的交通灯控制系统 |
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| 引用本文： | 蔡教武,蔡延光. 一种基于自适应模糊神经网络的交通灯控制系统[J]. 仪表技术, 2010, 0(9): 32-33,36 |
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| 作者姓名： | 蔡教武 蔡延光 |
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| 作者单位： | 1. 广东工业大学自动化学院,广东广州,510090;罗定职业技术学院,广东罗定,527200
2. 广东工业大学自动化学院,广东广州,510090 |
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| 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。
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| 关 键 词： | 交通灯 模糊神经网络 全局优化 |
A Control-system for Traffic Light Based on Adaptive Fuzzy-neural Network |
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| CAI Jiao-wu,CAI Yan-guang. A Control-system for Traffic Light Based on Adaptive Fuzzy-neural Network[J]. Instrumentation Technology, 2010, 0(9): 32-33,36 |
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| Authors: | CAI Jiao-wu CAI Yan-guang |
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| Affiliation: | 1.Faculty of Automation,Guangdong University of Technology,Guangzhou 510090,China;2.Luoding Polytechnic,Luoding 527200,China) |
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| Abstract: | 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. |
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| Keywords: | traffic light fuzzy-neural network global optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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