| 基于模糊神经网络交通控制子区动态划分 |
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| 引用本文： | 谢颖,李春贵,闫向磊,张宏磊. 基于模糊神经网络交通控制子区动态划分[J]. 广西工学院学报, 2011, 22(1): 82-86 |
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| 作者姓名： | 谢颖 李春贵 闫向磊 张宏磊 |
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| 作者单位： | 1. 广西工学院,电子信息与控制工程系,广西,柳州,545006
2. 广西工学院,计算机工程系,广西,柳州,545006 |
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| 摘 要： | 提出将模糊神经网络方法应用于交通控制子区动态划分,利用神经网络的学习能力自动寻找模糊推理规则,根据实时的交通流量、距离和最佳信号周期,预测输出城市相邻道路交叉口之间的协调系数,根据协调系数大小划分交通控制子区.用MATLAB进行仿真实验,实验结果证实该方法可行,比用BP神经网络方法实现更加快速、有效.
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| 关 键 词： | 模糊神经网络 交通控制子区 动态划分 BP神经网络 |
Dynamic Division of Traffic Control Sub-Areas Based on Fuzzy Neural Network |
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| XIE Ying,LI Chun-gui,YAN Xiang-lei,ZHANG Hong-lei. Dynamic Division of Traffic Control Sub-Areas Based on Fuzzy Neural Network[J]. Journal of Guangxi University of Technology, 2011, 22(1): 82-86 |
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| Authors: | XIE Ying LI Chun-gui YAN Xiang-lei ZHANG Hong-lei |
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| Affiliation: | a(a.Department of Electronic Information and Control Engineering;b.Department of Computer Engineering,Guangxi University of Technology,Liuzhou 545006,China) |
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| Abstract: | This paper proposes that fuzzy neural network method should be applied to dynamic division of traffic control sub-areas,using the learning ability of neural network to automatically search fuzzy rules.According to the real-time traffic flow,distance and the optimum signal cycle,the method can predict the coordinatability factor between adjacent road intersections and divide traffic control sub-areas according to the value of the coordinatability factor.Using MATLAB for simulation,the experiment results prove the feasibility of this method,which is faster and more efficient than using BP neural network method. |
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| Keywords: | fuzzy neural network traffic control sub-areas dynamic division BP neural network |
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