Application of Ant Colony Optimization Algorithm to Ramp Metering

Author

Xiong, Jian ; Liang, Xinrong ; Liang, Licheng

Author_Institution

Coll. of Inf., Wuyi Univ., Jiangmen, China

fYear

2010

fDate

25-26 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

On-ramp control is the most effective and extensive way to improve freeway capacity. A proportional-integral (PI) control method based on ant colony optimization (ACO) is proposed to regulate the number of vehicles entering a freeway entrance point. First, a macroscopic traffic flow model is established. Then the basic principles of ant colony algorithm are formulated and the steps of ACO algorithm in optimizing the PI parameters are given. In conjunction with nonlinear feedback theory, on-ramp PI controller optimized by ant colony algorithm is designed. Finally, the controller is simulated in MATLAB software. The results show that the ACO-based ramp metering controller has fast response speed, high computation efficiency, and good dynamic and steady-state performance.

Keywords

PI control; feedback; nonlinear control systems; optimisation; road traffic; traffic control; ant colony optimization; freeway entrance point; macroscopic traffic flow model; nonlinear feedback theory; on-ramp control; proportional-integral control method; ramp metering; Adaptation model; Algorithm design and analysis; Ant colony optimization; Mathematical model; Traffic control; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on

Conference_Location

Wuhan

ISSN

2156-7379

Print_ISBN

978-1-4244-7939-9

Electronic_ISBN

2156-7379

Type

conf

DOI

10.1109/ICIECS.2010.5678217

Filename

5678217