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Article

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

N. R. YusupbekovDepartment of Information Technology, Tashkent State Technical University, 100095 Tashkent, UzbekistanAvazjon MarakhimovDepartment of Information Technology, Tashkent State Technical University, 100095 Tashkent, UzbekistanH. Z. IgamberdievDepartment of Information Technology, Tashkent State Technical University, 100095 Tashkent, UzbekistanSh. X. UmarovDepartment of Information Technology, Tashkent State Technical University, 100095 Tashkent, Uzbekistan
The Scientific World JOURNALjournal2016en
ABI

Abstract

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.

Topics

Advanced Data Processing TechniquesMathematical Control Systems and AnalysisAdvanced Computational Techniques in Science and Engineering

Identifiers

DOI
10.1155/2016/6719459

Citations and references

Cited by 78 references
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