Fuzzy Multiobjective Traffic Light Signal Optimization. (19th May 2013)

• Record Type: Journal Article
• Authors: Shahsavari Pour, N.; Asadi, H.; Pour Kheradmand, M.
• Other Names: Qiu Zhiping Academic Editor.
• Is Part Of: Journal of applied mathematics. Volume 2013(2013)
• Publication Date: 2013-05-19
• Subjects: Mathematics -- Periodicals; 519.05
• DOI: 10.1155/2013/249726
• Languages: English
• ISSNs: 1110-757X

Abstract

Abstract : 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.