Fuzzy Multiobjective Traffic Light Signal Optimization

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” schem...

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Bibliographic Details
Published in:Journal of Applied Mathematics 2013-01, Vol.2013 (2013), p.367-373-142
Main Authors: Shahsavari Pour, N., Pour Kheradmand, M., Asadi, H.
Format: Article
Language:English
Subjects:
Engineering research
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
Pedestrians
Studies
Traffic congestion
Traffic control
Traffic flow
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Summary: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.
ISSN:1110-757X
1687-0042
DOI:10.1155/2013/249726