DocumentCode
498942
Title
Application of PSO algorithm to coordinated ramp control
Author
Liang, Xin-rong ; Fan, Ye-kun ; Jiang, Tao
Author_Institution
Coll. of Inf., Wuyi Univ., Jiangmen, China
Volume
3
fYear
2009
fDate
12-15 July 2009
Firstpage
1712
Lastpage
1716
Abstract
A multilayer control structure and PSO (Particle Swarm Optimization) algorithm are used for coordinated ramp control on freeways. The macroscopic model to describe the evolution of freeway traffic flow is built and the PSO algorithm is formulated. The control system is vertically decomposed into three layers: The adaptation layer to specify the values of disturbances and to adjust the parameters of traffic models, the coordination layer to determine the desired traffic density in each freeway section according to the current traffic state, and the direct control layer to keep the actual values of the traffic density in the vicinity of the nominal trajectories via PI control. PSO algorithm is used to find the optimal PI parameters of the direct control layer. Simulation results show that the control system is of good performance. It can eliminate traffic jams, maintain traffic flow stability, and make vehicles travel more efficiently and safely.
Keywords
PI control; particle swarm optimisation; road traffic; traffic control; PI control; PSO algorithm; control system; coordinated ramp control; freeway section; freeway traffic flow; macroscopic model; multilayer control structure; particle swarm optimization algorithm; traffic density; traffic flow stability; traffic jams; traffic model; traffic state; Automatic control; Control system synthesis; Control systems; Cybernetics; Educational institutions; Machine learning; Machine learning algorithms; Nonhomogeneous media; Pi control; Traffic control; Freeway; Multilayer control; PI control; PSO; Traffic flow model;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212350
Filename
5212350
Link To Document