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基于免疫遗传算法的区域交通自适应协调控制
引用本文:刘智勇,李水友.基于免疫遗传算法的区域交通自适应协调控制[J].控制理论与应用,2006,23(1):119-125.
作者姓名:刘智勇  李水友
作者单位:五邑大学,信息学院,广东,江门,529020
基金项目:教育部高等学校骨干教师资助计划项目(教技司[2000]65号); 广东省自然科学基金资助项目(010486)
摘    要:提出一种基于改进免疫遗传算法的城市区域交通自适应协调控制方法.采用两层的递阶分布式结构;分阶段和分级优化控制参数(周期、相位差和绿信比),每个阶段长5~30分钟,周期、相位差由区域控制级每个阶段优化一次,绿信比由路口控制级每个周期优化一次;采用最小化平均延误时间或平均停车次数等为性能指标.周期、相位差和绿信比均采用改进的免疫遗传算法进行优化.仿真结果表明本文提出的方法是可行而有效的.

关 键 词:城市交通控制  自适应控制  免疫遗传算法  最优化
文章编号:1000-8152(2006)01-0119-07
收稿时间:2004-05-14
修稿时间:2004-05-142005-04-18

Immunity genetic algorithms based adaptive control method for urban traffic network signal
LIU Zhi-yong,LI Shui-you.Immunity genetic algorithms based adaptive control method for urban traffic network signal[J].Control Theory & Applications,2006,23(1):119-125.
Authors:LIU Zhi-yong  LI Shui-you
Affiliation:School of Information,Wuyi University,Jiangmen Guangdong 529020,China
Abstract:An improved immunity genetic algorithms (GA) based adaptive control method for urban traffic network signal is proposed. A two-level hierarchical distributed construction is adopted.The parameters are optimized hierarchically with an interval of 5~30 minutes.Cycle and offsets are optimized by central controller in each interval and splits are optimized by intersection controller in each cycle.For a given performance index,such as minimizing the mean vehicle delay or number of stops etc.,an improved immunity GA is used to optimize the cycle,offsets and splits.Simulation results show that the new method proposed in this paper is feasible and efficient.
Keywords:urban traffic signal control  adaptive control  immunity GA  optimization
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