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Journal of Applied MathematicsVolume 2013 2013, Article ID 249726, 7 pages

Research ArticleDepartment of Industrial Engineering, Science and Research Branch, Islamic Azad University, Kerman, Iran

Received 18 September 2012; Revised 26 March 2013; Accepted 9 April 2013

Academic Editor: Zhiping Qiu

Copyright © 2013 N. Shahsavari Pour et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Traffic congestion is a major concern for many cities throughout the world. In a general traffic light controller, the traffic lights change at a constant cycle time. Hence it does not provide an optimal solution. Many traffic light controllers in current use are based on the -time-of-the-day- scheme, which use a limited number of predetermined traffic light patterns and implement these patterns depending upon the time of the day. These automated systems do not provide an optimal control for fluctuating traffic volumes. In this paper, the fuzzy traffic light controller is used to optimize the control of fluctuating traffic volumes such as oversaturated or unusual load conditions. The problem is solved by genetic algorithm, and a new defuzzification method is introduced. The performance of the new defuzzification method NDM is compared with the centroid point defuzzification method CPDM by using ANOVA. Finally, an illustrative example is presented to show the competency of proposed algorithm.

Autor: N. Shahsavari Pour, H. Asadi, and M. Pour Kheradmand

Fuente: https://www.hindawi.com/


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