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 :
بازگشت