| 基于模糊神经网络的交通灯智能系统 |
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| 引用本文： | 严丽军, 项湜伍.基于模糊神经网络的交通灯智能系统[J].上海师范大学学报(自然科学版),2009,38(4):383-388. |
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| 作者姓名： | 严丽军 项湜伍 |
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| 作者单位： | 1. 上海师范大学,信息与机电工程学院,上海,200234
2. 上海电机学院,电子信息学院,上海,200240 |
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| 摘 要： | 设计了一个使用模糊和神经网络的交通灯智能系统.此系统能根据汽车重量、长度和速度来改变信号灯等待时间.通过计算机仿真表明,此方法比固定时间信号灯更有效.新方法的汽车平均等待时间减少,通过十字路口的速度较快以及燃料消耗都会提高.
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| 关 键 词： | 模糊神经网络 汽车等待时间 交通灯控制 节能 |
The intelligent traffic control system using fuzzy neural network |
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| YAN Li-jun,XIANG Shi-wu.The intelligent traffic control system using fuzzy neural network[J].Journal of Shanghai Normal University(Natural Sciences),2009,38(4):383-388. |
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| Authors: | YAN Li-jun XIANG Shi-wu |
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| Institution: | 1.College of Information;Mechanical and Electrical Engineering;Shanghai Normal University;Shanghai 200234;China;2.Electionics and Information School;Shanghai Dianji University;Shanghai 200240;China |
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| Abstract: | The intelligent traffic control system using fuzzy neural network is investigated.This scheme uses the intelligent traffic light control system.The system changes signal based on the passing vehicles' weight,length and speed.Through computer simulation,this method has been proven to be much more efficient than fixed time interval signal,since the average waiting time,average vehicle speed,and fuel consumption may be improved. |
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| Keywords: | fuzzy neural network vehicle waiting time traffic light control Energy-saving |
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