By Topic

Anti-Congestion Fuzzy Algorithm for Traffic Control of a Class of Traffic Networks

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

3 Author(s)
Wei-bin Zhang ; Xian JiaoTong Univ., Xi''an ; Bu-zhou Wu ; Wen-jiang Liu

A two-layer fuzzy control algorithm is proposed for traffic control of a class of traffic networks. The concerned network is supposed to have a compact central area with large traffic flow and high possibility of congestion, and a relatively large, loose outer area. The proposed anti-congestion fuzzy algorithm (ACTA) pursues two goals simultaneously, that is, to minimize the average vehicle delay and to prevent traffic congestion from happening. The simulation included in the end shows the performance of the proposed approach is better than that of green link determining (GLIDE) in case of large traffic volume.

Published in:

Granular Computing, 2007. GRC 2007. IEEE International Conference on

Date of Conference:

2-4 Nov. 2007