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Mathematical Problems in Engineering
Volume 2015, Article ID 979160, 14 pages
http://dx.doi.org/10.1155/2015/979160
Review Article

Fuzzy Logic in Traffic Engineering: A Review on Signal Control

1Department of Applied Informatics in Transportation, Faculty of Transportation Sciences, Czech Technical University, Konviktská 20, 110 00 Praha 1, Czech Republic
2Department of Geoinformatics, Faculty of Science, Palacký University Olomouc, 17. Listopadu 50, 771 46 Olomouc, Czech Republic

Received 1 August 2014; Accepted 17 December 2014

Academic Editor: Feng Wang

Copyright © 2015 Milan Koukol et al. This 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.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Ke Han, Hongcheng Liu, Vikash V. Gayah, Terry L. Friesz, and Tao Yao, “A robust optimization approach for dynamic traffic signal control with emission considerations,” Transportation Research Part C: Emerging Technologies, vol. 70, pp. 3–26, 2016. View at Publisher · View at Google Scholar
  • Jun Ye, “Neutrosophic Linear Equations and Application in Traffic Flow Problems,” Algorithms, vol. 10, no. 4, pp. 133, 2017. View at Publisher · View at Google Scholar
  • Sweta Jain, and Meenu Chawla, “A fuzzy logic based buffer management scheme with traffic differentiation support for delay tolerant networks,” Telecommunication Systems, pp. 1–17, 2017. View at Publisher · View at Google Scholar
  • Dervis Karaboga, and Ebubekir Kaya, “Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey,” Artificial Intelligence Review, 2018. View at Publisher · View at Google Scholar
  • Lenka ZajíčkováGeoinformační přístup správy prostorových dat o veřejné hromadné dopravě na úrovni kraje, 2018. View at Publisher · View at Google Scholar