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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Detalles Bibliográficos
Autores principales: Yusupbekov, N. R., Marakhimov, A. R., Igamberdiev, H. Z., Umarov, Sh. X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970305/
https://www.ncbi.nlm.nih.gov/pubmed/27517081
http://dx.doi.org/10.1155/2016/6719459
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author Yusupbekov, N. R.
Marakhimov, A. R.
Igamberdiev, H. Z.
Umarov, Sh. X.
author_facet Yusupbekov, N. R.
Marakhimov, A. R.
Igamberdiev, H. Z.
Umarov, Sh. X.
author_sort Yusupbekov, N. R.
collection PubMed
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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spelling pubmed-49703052016-08-11 An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream Yusupbekov, N. R. Marakhimov, A. R. Igamberdiev, H. Z. Umarov, Sh. X. ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2016 2016-07-19 /pmc/articles/PMC4970305/ /pubmed/27517081 http://dx.doi.org/10.1155/2016/6719459 Text en Copyright © 2016 N. R. Yusupbekov et al. https://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Research Article
Yusupbekov, N. R.
Marakhimov, A. R.
Igamberdiev, H. Z.
Umarov, Sh. X.
An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970305/
https://www.ncbi.nlm.nih.gov/pubmed/27517081
http://dx.doi.org/10.1155/2016/6719459
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