Journal
8TH INTERNATIONAL CONFERENCE ON TRAFFIC AND TRANSPORTATION STUDIES (ICTTS)
Volume 43, Issue -, Pages 210-215Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sbspro.2012.04.093
Keywords
traffic engineering; signal timing optimization; delay vehicles; bacterial foraging; differential evolution
Categories
Ask authors/readers for more resources
Aiming at that the traffic congestion in urban often appears, the signal timing optimization model and method are researched. The signal control model is proposed considering the max throughput of intersection. The objective function of this model is to minimize the delay vehicles of a cycle time. The model has all kinds of constraint. A differential evolution bacteria foraging optimization algorithm is presented. The velocity of the traditional bacteria foraging optimization algorithm is slow. The bacterium position is revised by differential evolution in chemotaxis process to improve the convergence precision. Based on an intersection in Guangzhou City, the model is calculated and simulated through programming. As it shows, it can improve traffic capacity of intersections and especially works well in high demand. (C) 2012 Published by Elsevier B.V. Selection and/or peer review under responsibility of Beijing Jiaotong University [BJU], Systems Engineering Society of China (SESC)
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available