Title :
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
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;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678217
