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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Format: | Article |
Language: | English |
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Wiley
2016-01-01
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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. |
format | Article |
id | doaj-art-98672ad50e684869a5e596a084d186f1 |
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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