DocumentCode
400313
Title
Freeway traffic density control using iterative learning control approach
Author
Hou, Zhongsheng ; Xu, Jian-Xin
Author_Institution
Sch. of Traffic & Transp. Manage., Northern Jiaotong Univ., Beijing, China
Volume
2
fYear
2003
fDate
12-15 Oct. 2003
Firstpage
1081
Abstract
In this paper, an iterative learning control scheme is developed to the traffic density control in a macroscopic level freeway environment. With rigorous analysis, the proposed intelligent control scheme guarantees the asymptotic convergence of the traffic density to the desired one. The control scheme is applied to a freeway model, and simulation results confirm the efficacy of the proposed approach.
Keywords
control system synthesis; intelligent control; learning systems; road traffic; traffic control; asymptotic convergence; freeway ramp metering; freeway traffic density control; intelligent control scheme; iterative learning control; iterative learning control approach; macroscopic level freeway environment; rigorous analysis; Communication system traffic control; Control systems; Convergence; Function approximation; Information systems; Intelligent control; Iterative methods; Optimal control; Traffic control; Urban areas;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN
0-7803-8125-4
Type
conf
DOI
10.1109/ITSC.2003.1252652
Filename
1252652
Link To Document