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

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....

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Main Authors: N. R. Yusupbekov, A. R. Marakhimov, H. Z. Igamberdiev, Sh. X. Umarov
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2016/6719459
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author N. R. Yusupbekov
A. R. Marakhimov
H. Z. Igamberdiev
Sh. X. Umarov
author_facet N. R. Yusupbekov
A. R. Marakhimov
H. Z. Igamberdiev
Sh. X. Umarov
author_sort N. R. Yusupbekov
collection DOAJ
description 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.
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institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-98672ad50e684869a5e596a084d186f12025-02-03T01:32:44ZengWileyThe Scientific World Journal2356-61401537-744X2016-01-01201610.1155/2016/67194596719459An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport StreamN. R. Yusupbekov0A. R. Marakhimov1H. Z. Igamberdiev2Sh. X. Umarov3Department of Information Technology, Tashkent State Technical University, 100095 Tashkent, UzbekistanDepartment of Information Technology, Tashkent State Technical University, 100095 Tashkent, UzbekistanDepartment of Information Technology, Tashkent State Technical University, 100095 Tashkent, UzbekistanDepartment of Information Technology, Tashkent State Technical University, 100095 Tashkent, UzbekistanThis 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.http://dx.doi.org/10.1155/2016/6719459
spellingShingle N. R. Yusupbekov
A. R. Marakhimov
H. Z. Igamberdiev
Sh. X. Umarov
An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream
The Scientific World Journal
title An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream
title_full An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream
title_fullStr An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream
title_full_unstemmed An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream
title_short An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream
title_sort adaptive fuzzy logic traffic control system in conditions of saturated transport stream
url http://dx.doi.org/10.1155/2016/6719459
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