Genetic algorithm optimization based PI controller for freeway ramp metering

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (4): 216-218.

• 工程与应用 • Previous Articles Next Articles

Genetic algorithm optimization based PI controller for freeway ramp metering

LI Zheng¹,LIANG Xin-rong^1,2

1.College of Information，Wuyi University，Jiangmen，Guangdong 529020，China
2.College of Traffic and Communications，South China University of Technology，Guangzhou 510640，China

Received:2007-05-28 Revised:2007-07-24 Online:2008-02-01 Published:2008-02-01
Contact: LI Zheng

基于遗传算法优化的高速公路匝道PI控制器

李政¹,梁新荣^1,2

1.五邑大学信息学院，广东江门 529020
2.华南理工大学交通学院，广州 510640

通讯作者: 李政

Abstract

Abstract: An optimization method of the PI controller parameters with genetic algorithm is developed and applied to freeway ramp metering.The objective of ramp metering is formulated，and the freeway traffic flow model is built.Then the optimization procedures with genetic algorithm are given，and the parameters of an on-ramp PI controller are optimized.Simulation results show that the optimization method is of high performance.It is very effective to freeway ramp metering.

Key words: freeway, ramp metering, genetic algorithm, PI control, optimization

摘要： 研究遗传算法优化PI控制器的参数，并应用到高速公路匝道控制中。阐述了匝道控制目标，建立了高速公路交通流模型，给出了遗传算法优化的步骤，并对入口匝道PI控制器的参数进行了优化。仿真结果表明，该方法性能优越，用于高速公路入口匝道控制中效果良好。

关键词: 高速公路, 匝道控制, 遗传算法, PI控制, 优化

LI Zheng¹,LIANG Xin-rong^1,2. Genetic algorithm optimization based PI controller for freeway ramp metering[J]. Computer Engineering and Applications, 2008, 44(4): 216-218.

李政¹,梁新荣^1,2. 基于遗传算法优化的高速公路匝道PI控制器[J]. 计算机工程与应用, 2008, 44(4): 216-218.

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Genetic algorithm optimization based PI controller for freeway ramp metering

基于遗传算法优化的高速公路匝道PI控制器

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