By Topic

Urban Area Traffic Signal Timing Optimization Based on Sa-PSO

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
$33 $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)
Chaojun Dong ; Inst. of Inf., Wuyi Univ., Jiangmen, China ; Shiqing Huang ; Xiankun Liu

Urban traffic problem was an important factor that affects the development and restricts the economic construction of cities. It's a complex system in a random way so it was necessary to optimize traffic control signals to cope with so much urban traffic problems. A simulated annealing-particle swarm optimization (Sa-PSO) algorithm was developed which bases on particle swarm optimization (PSO) and metropol was rule. It effectively shows in dealing with the optimization of urban traffic signal timing. Simulation was carried out in a nine-intersection were a network and the result shows that the use of Sa-PSO method can reduce 41.0% of the average delay per vehicles, and 30.6% of the average stop rates comparing with fixed time plans.

Published in:

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on  (Volume:3 )

Date of Conference:

23-24 Oct. 2010