By Topic

Traffic Signal Control by Using Traffic Congestion Prediction Based on Pheromone Model

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)
Tawara, K. ; Dept. of Electr. Eng., Tokyo Univ. of Sci., Tokyo, Japan ; Mukai, N.

Traffic congestion has been a long-held social problem because of the increasing number of vehicles. In this paper, we apply a pheromone model to a traffic signal control in order to alleviate the traffic congestion. The pheromone model is a tool to communicate among insects (e.g., ants) for their crowd action. In our target problem, the pheromone is strewed by vehicles in a trail across the road instead of insects, and the amount of pheromone corresponds to the degree of traffic congestion. Moreover, the factors of traffic signals (i.e., cycle, split, and offset) are controlled by the pheromone to reduce the idling time in front of traffic signals. We performed multi-agent simulations to compare our traffic control method with other control methods. The results show that our proposal method has good effects to the traffic congestion problem.

Published in:

Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on  (Volume:1 )

Date of Conference:

27-29 Oct. 2010