Particle swarm optimization based PI controller for freeway ramp metering

Author

Yekun, Fan ; Xinrong, Liang

Author_Institution

Sch. of Inf., Wuyi Univ., Jiangmen

fYear

2008

fDate

16-18 July 2008

Firstpage

503

Lastpage

506

Abstract

A PI (proportional-integral) control method based on particle swarm optimization (PSO) is proposed to regulate the number of vehicles entering a freeway entrance point. First, the objective of ramp metering is determined, and the freeway traffic flow model is built. Then the particle swarm algorithm is formulated. In conjunction with nonlinear feedback theory, PSO based PI controller for on-ramp metering is designed. Finally, the controller is simulated in MATLAB software. The result shows that the controller designed has fast response, and good dynamic and steady-state performance. This method has a good effect on freeway ramp metering.

Keywords

PI control; evolutionary computation; feedback; particle swarm optimisation; road traffic; traffic control; MATLAB software; PI controller; PSO; freeway ramp metering; nonlinear feedback theory; particle swarm optimization; proportional-integral control method; steady-state performance; traffic flow model; Feedback; MATLAB; Mathematical model; Particle swarm optimization; Pi control; Proportional control; Road vehicles; Steady-state; Traffic control; Vehicle dynamics; Freeway; PI control; Particle swarm optimization; Ramp metering;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605373

Filename

4605373