Fuzzy Multiobjective Traffic Light Signal Optimization
Joint Authors
Asadi, H.
Pour Kheradmand, M.
Shahsavari Pour, N.
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-19
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shahsavari Pour, N.& Asadi, H.& Pour Kheradmand, M.. 2013. Fuzzy Multiobjective Traffic Light Signal Optimization. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-457332
Modern Language Association (MLA)
Shahsavari Pour, N.…[et al.]. Fuzzy Multiobjective Traffic Light Signal Optimization. Journal of Applied Mathematics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-457332
American Medical Association (AMA)
Shahsavari Pour, N.& Asadi, H.& Pour Kheradmand, M.. Fuzzy Multiobjective Traffic Light Signal Optimization. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-457332
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-457332