Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

A Multi-Agent Urban Traffic Control System Cooperated with Dynamic Route Guidance

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)
Xin Chen ; Liaoning Inst. of Technol., Jinzhou ; Zhao-sheng Yang ; Hai-Yang Wang

This paper explores the use of cooperative, distributed multi-agent system to improve urban traffic control system. Real-time control over the urban traffic network is accomplished through an agent-based distributed hierarchy traffic control system, which cooperated with dynamic route guidance system. Cooperative system framework and agent structure are discussed in the paper. Cooperative information organization flow chart for the system is put forward. The traffic data structure is described by particle size, real-time, actual effect and renewed frequency. Strategy cooperation is studied and strategy cooperation models are given. The system has the ability to cooperate and optimize the traffic signal controlled network through system self-study and adaptability. Results from simulation experiments suggest that cooperation with dynamic route guidance can increase traffic control efficiency

Published in:

Machine Learning and Cybernetics, 2006 International Conference on

Date of Conference:

13-16 Aug. 2006