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The Scientific World Journal
Volume 2016 (2016), Article ID 6719459, 9 pages
Research Article

An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream

Department of Information Technology, Tashkent State Technical University, 100095 Tashkent, Uzbekistan

Received 26 December 2015; Accepted 16 May 2016

Academic Editor: Oleg H. Huseynov

Copyright © 2016 N. R. Yusupbekov 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.


This paper considers the problem of building adaptive fuzzy-logic traffic control systems (AFLTCS) to deal with information fuzziness and uncertainty in case of heavy traffic streams. Methods of formal description of traffic control on the crossroads based on fuzzy sets and fuzzy logic are proposed. This paper also provides efficient algorithms for implementing AFLTCS and develops the appropriate simulation models to test the efficiency of suggested approach.