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dc.contributor.authorİNAĞ, Tuğçe
dc.contributor.authorARIKAN, Murat
dc.date.accessioned2024-05-02T12:39:06Z
dc.date.available2024-05-02T12:39:06Z
dc.date.issued2024
dc.identifier.issn2147-3188
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/123456789/14950
dc.description.abstractThe escalating global population and increased vehicle usage have worsened traffic congestion in metropolitan areas, a significant urban challenge. Addressing this, adaptive traffic light control methods, especially at intersections, are being developed to improve traffic flow and reduce waiting times. This study significantly contributes to this field by implementing Fuzzy Logic in intelligent traffic light systems, focusing on Ankara's Polatlı Refik Cesur intersection. Using the SUMO simulation platform and Pythontr_TR
dc.language.isoEnglishtr_TR
dc.publisherBitlis Eren Üniversitesitr_TR
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.subjectANFIS, fuzzy logictr_TR
dc.subjectSUMOtr_TR
dc.subjectintelligent traffic light controltr_TR
dc.subjecttraffic congestiontr_TR
dc.subjecttraffic simulationtr_TR
dc.subjectadaptive traffic controltr_TR
dc.subjectintelligent transportation systemstr_TR
dc.titleA Fuzzy Based Intelligent Traffic Light Control (ITLC) Method: An Implementation in Ankara Citytr_TR
dc.typeArticletr_TR
dc.identifier.issue1tr_TR
dc.identifier.startpage292tr_TR
dc.identifier.endpage306tr_TR
dc.relation.journalBitlis Eren Üniversitesi Fen Bilimleri Dergisitr_TR
dc.identifier.volume13tr_TR


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