By Topic

Freeway traffic density control using iterative learning control approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhongsheng Hou ; Sch. of Traffic & Transp. Manage., Northern Jiaotong Univ., Beijing, China ; Jian-Xin Xu

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.

Published in:

Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE  (Volume:2 )

Date of Conference:

12-15 Oct. 2003