Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application

Wendell de Queiróz Lamas; Giorgio Eugenio Oscare Giacaglia; Eliana Campos de Oliveira

doi:doi:10.11648/j.ijtet.20170303.11

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Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application

Wendell de Queiróz Lamas, Giorgio Eugenio Oscare Giacaglia, Eliana Campos de Oliveira

Published in International Journal of Transportation Engineering and Technology (Volume 3, Issue 3)

Received: 19 July 2017 Accepted: 4 August 2017 Published: 26 September 2017

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Abstract

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.

Published in	International Journal of Transportation Engineering and Technology (Volume 3, Issue 3)
DOI	10.11648/j.ijtet.20170303.11
Page(s)	25-38
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Artificial Intelligence, Decision Support Systems, Fuzzy Sets, Simulation, Urban Traffic

References

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APA Style

Wendell de Queiróz Lamas, Giorgio Eugenio Oscare Giacaglia, Eliana Campos de Oliveira. (2017). Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application. International Journal of Transportation Engineering and Technology, 3(3), 25-38. https://doi.org/10.11648/j.ijtet.20170303.11

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ACS Style

Wendell de Queiróz Lamas; Giorgio Eugenio Oscare Giacaglia; Eliana Campos de Oliveira. Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application. Int. J. Transp. Eng. Technol. 2017, 3(3), 25-38. doi: 10.11648/j.ijtet.20170303.11

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AMA Style

Wendell de Queiróz Lamas, Giorgio Eugenio Oscare Giacaglia, Eliana Campos de Oliveira. Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application. Int J Transp Eng Technol. 2017;3(3):25-38. doi: 10.11648/j.ijtet.20170303.11

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@article{10.11648/j.ijtet.20170303.11,
  author = {Wendell de Queiróz Lamas and Giorgio Eugenio Oscare Giacaglia and Eliana Campos de Oliveira},
  title = {Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application},
  journal = {International Journal of Transportation Engineering and Technology},
  volume = {3},
  number = {3},
  pages = {25-38},
  doi = {10.11648/j.ijtet.20170303.11},
  url = {https://doi.org/10.11648/j.ijtet.20170303.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20170303.11},
  abstract = {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.},
 year = {2017}
}

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TY  - JOUR
T1  - Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application
AU  - Wendell de Queiróz Lamas
AU  - Giorgio Eugenio Oscare Giacaglia
AU  - Eliana Campos de Oliveira
Y1  - 2017/09/26
PY  - 2017
N1  - https://doi.org/10.11648/j.ijtet.20170303.11
DO  - 10.11648/j.ijtet.20170303.11
T2  - International Journal of Transportation Engineering and Technology
JF  - International Journal of Transportation Engineering and Technology
JO  - International Journal of Transportation Engineering and Technology
SP  - 25
EP  - 38
PB  - Science Publishing Group
SN  - 2575-1751
UR  - https://doi.org/10.11648/j.ijtet.20170303.11
AB  - 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.
VL  - 3
IS  - 3
ER  -

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Author Information

Wendell de Queiróz Lamas

Department of Basic and Environmental Sciences, School of Engineering at Lorena, University of S?o 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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Plain Text BibTeX RIS

APA Style

Wendell de Queiróz Lamas, Giorgio Eugenio Oscare Giacaglia, Eliana Campos de Oliveira. (2017). Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application. International Journal of Transportation Engineering and Technology, 3(3), 25-38. https://doi.org/10.11648/j.ijtet.20170303.11

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ACS Style

Wendell de Queiróz Lamas; Giorgio Eugenio Oscare Giacaglia; Eliana Campos de Oliveira. Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application. Int. J. Transp. Eng. Technol. 2017, 3(3), 25-38. doi: 10.11648/j.ijtet.20170303.11

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AMA Style

Wendell de Queiróz Lamas, Giorgio Eugenio Oscare Giacaglia, Eliana Campos de Oliveira. Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application. Int J Transp Eng Technol. 2017;3(3):25-38. doi: 10.11648/j.ijtet.20170303.11

Copy | Download

@article{10.11648/j.ijtet.20170303.11,
  author = {Wendell de Queiróz Lamas and Giorgio Eugenio Oscare Giacaglia and Eliana Campos de Oliveira},
  title = {Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application},
  journal = {International Journal of Transportation Engineering and Technology},
  volume = {3},
  number = {3},
  pages = {25-38},
  doi = {10.11648/j.ijtet.20170303.11},
  url = {https://doi.org/10.11648/j.ijtet.20170303.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20170303.11},
  abstract = {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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Intelligent Urban Traffic Flow Control: A Case Study on Fuzzy Logic Application
AU  - Wendell de Queiróz Lamas
AU  - Giorgio Eugenio Oscare Giacaglia
AU  - Eliana Campos de Oliveira
Y1  - 2017/09/26
PY  - 2017
N1  - https://doi.org/10.11648/j.ijtet.20170303.11
DO  - 10.11648/j.ijtet.20170303.11
T2  - International Journal of Transportation Engineering and Technology
JF  - International Journal of Transportation Engineering and Technology
JO  - International Journal of Transportation Engineering and Technology
SP  - 25
EP  - 38
PB  - Science Publishing Group
SN  - 2575-1751
UR  - https://doi.org/10.11648/j.ijtet.20170303.11
AB  - 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.
VL  - 3
IS  - 3
ER  -

Copy | Download