| 基于粒子群的城市交通信号两级模糊控制 |
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| 引用本文： | 曾松林,余立建,郭翠玲.基于粒子群的城市交通信号两级模糊控制[J].交通科技与经济,2013(2):88-92. |
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| 作者姓名： | 曾松林 余立建 郭翠玲 |
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| 作者单位： | [1]西南交通大学信息科学与技术学院,四川成都610031 [2]商丘职业技术学院机电工程系,河南商丘476000 |
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| 摘 要： | 针对城市交通流的特点，设计一种单交叉口多相位两级模糊控制器，有效地减少控制规则数，实现相序、绿信比、周期随交通状况而自适应变化，并采用粒子群算法对模糊控制器的隶属度函数进行优化。仿真结果表明，该系统能有效地提高交叉口的通行能力，减少车辆平均延误。
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| 关 键 词： | 交通信号 模糊控制 粒子群算法 平均延误 |
Two-stage fuzzy control for urban traffic signals based on particle swarm optimization |
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| ZENG Song-lin,YU Li-jian,GUO Cui-ling.Two-stage fuzzy control for urban traffic signals based on particle swarm optimization[J].Technology & Economy in Areas of Communications,2013(2):88-92. |
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| Authors: | ZENG Song-lin YU Li-jian GUO Cui-ling |
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| Institution: | 1. School of Information Science Technology, Southwest Jiaotong University, Chengdu 610031, China 2. Dept. of Mechanical and Electrical Engineering, Shangqiu Polytechnic College, Shangqiu 476000, China) |
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| Abstract: | According to the characteristics of urban traffic flow, a two-stage fuzzy controller is designed solve traffic signal control, which reduces the number of fuzzy rules effectively. With the traffic situati changed, the phase order, the ratio of green signal and the cycle adaptively change. To modify t membership functions of fuzzy controller, a technique by using particle swarm optimization algorithm proposed. The result indicates that this system can effectively improve traffic capacity at t intersectionsand decrease the average automobile delay. |
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| Keywords: | traffic signal fuzzy control particle swarm optimization average delay |
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