![](/images/graphics-bg.png)
A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System
Joint Authors
Odeh, S. M.
Mora, A. M.
Moreno, M. N.
Merelo, J. J.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GAs) and its application on a traffic signal system.
FLCs have been widely used in many applications in diverse areas, such as control system, pattern recognition, signal processing, and forecasting.
They are, essentially, rule-based systems, in which the definition of these rules and fuzzy membership functions is generally based on verbally formulated rules that overlap through the parameter space.
They have a great influence over the performance of the system.
On the other hand, the Genetic Algorithm is a metaheuristic that provides a robust search in complex spaces.
In this work, it has been used to adapt the decision rules of FLCs that define an intelligent traffic signal system, obtaining a higher performance than a classical FLC-based control.
The simulation results yielded by the hybrid algorithm show an improvement of up to 34% in the performance with respect to a standard traffic signal controller, Conventional Traffic Signal Controller (CTC), and up to 31% in the comparison with a traditional logic controller, FLC.
American Psychological Association (APA)
Odeh, S. M.& Mora, A. M.& Moreno, M. N.& Merelo, J. J.. 2015. A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System. Advances in Fuzzy Systems،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1052424
Modern Language Association (MLA)
Odeh, S. M.…[et al.]. A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System. Advances in Fuzzy Systems No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1052424
American Medical Association (AMA)
Odeh, S. M.& Mora, A. M.& Moreno, M. N.& Merelo, J. J.. A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System. Advances in Fuzzy Systems. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1052424
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052424