A novel adaptive traffic signal control based on cloud/fog/edge computing

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dc.authorid0000-0002-7097-2521en_US
dc.contributor.authorÇeltek, Seyit Alperen
dc.contributor.authorDurdu, Akif
dc.date.accessioned2022-09-12T12:52:01Z
dc.date.available2022-09-12T12:52:01Z
dc.date.issued2022en_US
dc.departmentKMÜ, Mühendislik Fakültesi, Enerji Sistemleri Mühendisliği Bölümüen_US
dc.descriptionWOS:000834692500001en_US
dc.description.abstractThis paper proposes the Internet of Things-based real-time adaptive traffic signal control strategy. The proposed model consists of three-layer; edge computing layer, fog computing layer, and cloud computing layer. The edge computing layer provides real-time and local optimization. The middle layer, which is the fog computing layer, performs a real-time and global optimization process. The cloud computing layer, which is the top layer, acts as a control center and optimizes the parameters of the fog layer and the edge layer. The proposed strategy uses the Deep Q-Learning algorithm for the optimization process in all three layers. This study employs the SUMO traffic simulator for performance evaluation. These results are compared with the results of adaptive traffic control methods. The output of this study shows that the proposed model can reduce waiting times and travel times while increasing travel speed.en_US
dc.identifier.citationÇeltek, S. A., Durdu, A. (2022). A novel adaptive traffic signal control based on cloud/fog/edge computing. International Journal Of Intelligent Transportation Systems Research.en_US
dc.identifier.doi10.1007/s13177-022-00315-3
dc.identifier.issn1868-8659
dc.identifier.scopus2-s2.0-85135272512
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s13177-022-00315-3
dc.identifier.urihttps://hdl.handle.net/11492/6545
dc.identifier.wosWOS:000834692500001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorÇeltek, Seyit Alperen
dc.language.isoen
dc.publisherSpringeren_US
dc.relation.journalInternational Journal Of Intelligent Transportation Systems Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdaptive Traffic Signal Controlen_US
dc.subjectInternet Of Thingsen_US
dc.subjectReinforcement Learningen_US
dc.titleA novel adaptive traffic signal control based on cloud/fog/edge computingen_US
dc.typeArticle

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