Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/8203
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dc.contributor.authorCav, C.-
dc.contributor.authorÇolak, Abdullah-
dc.contributor.authorÜnver, N.F.-
dc.date.accessioned2022-01-15T13:00:36Z-
dc.date.available2022-01-15T13:00:36Z-
dc.date.issued2021-
dc.identifier.isbn9781665436038-
dc.identifier.urihttps://doi.org/10.1109/INISTA52262.2021.9548610-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/8203-
dc.descriptionKocaeli University;Kocaeli University Technoparken_US
dc.description2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 -- 25 August 2021 through 27 August 2021 -- 172175en_US
dc.description.abstractThe increase in the number of vehicles in the traffic leads to traffic congestion and high delay times at key intersection points. To reduce the traffic density at intersections, researchers focus on the adaptive management of traffic lights according to the instantaneous state of the traffic. In this study, we propose two simple and easy to implement adaptive traffic signal management protocols for a single intersection point. These protocols use the vehicle to infrastructure communication technologies to gather information from the vehicles at an intersection, and dynamically adjust the traffic signal light duration or sequence or both. The aim of the study is to reduce the average waiting time at the intersection. The proposed protocols are tested through simulation. Results show that frequently checking the intersection state and determining the signal sequence adaptively lead to significant improvement in average delay time. Our best policy reduces the waiting time on average 80% for all vehicles, 81% for the left turn queue, and 68% for the straight pass and right turn queues. © 2021 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdaptive traffic signalen_US
dc.subjectTraffic signal controlen_US
dc.subjectIntersectionsen_US
dc.subjectStreet traffic controlen_US
dc.subjectTraffic congestionen_US
dc.subjectVehicle to vehicle communicationsen_US
dc.subjectVehiclesen_US
dc.subjectAdaptive Managementen_US
dc.subjectAdaptive traffic signalen_US
dc.subjectAdaptive traffic signal controlen_US
dc.subjectDelay Timeen_US
dc.subjectIntersection pointsen_US
dc.subjectNumber of vehiclesen_US
dc.subjectSingle intersectionsen_US
dc.subjectTraffic densitiesen_US
dc.subjectTraffic lighten_US
dc.subjectTraffic signal controlen_US
dc.subjectTraffic signalsen_US
dc.titleAdaptive Traffic Signal Control To Reduce Delay Time at a Single Intersection Pointen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.scopus2-s2.0-85116679081en_US
dc.institutionauthorFescioğlu Ünver, Nilgün-
dc.identifier.doi10.1109/INISTA52262.2021.9548610-
dc.authorscopusid57289738900-
dc.authorscopusid57288546000-
dc.authorscopusid9639266600-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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