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Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application
International Journal of Transportation Engineering and Technology
Volume 3, Issue 3, September 2017, Pages: 25-38
Received: Jul. 19, 2017; Accepted: Aug. 4, 2017; Published: Sep. 26, 2017
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Wendell de Queiróz Lamas, Department of Basic and Environmental Sciences, School of Engineering at Lorena, University of São Paulo, Lorena, SP, Brazil
Giorgio Eugenio Oscare Giacaglia, Department of Mechanical Engineering, University of Taubaté, Taubaté, SP, Brazil
Eliana Campos de Oliveira, Department of Computer Science, University of Taubaté, Taubaté, SP, Brazil
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This work uses concepts, tools, and methodologies associated to Operational Research and Artificial Intelligence to turn more efficient a system that controls traffic lights at a road crossing. Using Operational Research, through Linear Programming method, the intelligent traffic light operation is described as a mathematical formulation and constraints. That information is used for MacVicar-Whelam table elaboration that relates system pertinence rules through fuzzy logic techniques. It is pled, with the described development, to obtain of solid results for validation of the developed methodology, as well as its efficient control of intelligent traffic lights.
Artificial Intelligence, Decision Support Systems, Fuzzy Sets, Simulation, Urban Traffic
To cite this article
Wendell de Queiróz Lamas, Giorgio Eugenio Oscare Giacaglia, Eliana Campos de Oliveira, Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application, International Journal of Transportation Engineering and Technology. Vol. 3, No. 3, 2017, pp. 25-38. doi: 10.11648/j.ijtet.20170303.11
Copyright © 2017 Authors retain the copyright of this article.
This article 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.
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