Direct usage of occupancy data for multiregime speed-flow rate models

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dc.authorid0000-0003-4592-7048
dc.authorid0000-0003-0844-2746
dc.contributor.authorAksoy, Gökeren_US
dc.contributor.authorÖğüt, Kemal Selçuken_US
dc.date.accessioned2022-10-31T18:25:50Z
dc.date.available2022-10-31T18:25:50Z
dc.date.issued2023-01
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Civil Engineeringen_US
dc.description.abstractEarly macroscopic traffic flow models were based on observations of volume, speed, and density. The invention of traffic sensors has supplied a wealth of data for the development of more accurate macroscopic flow models. However, traffic sensors typically collect volume, speed, and occupancy data. Researchers prefer to convert occupancy to density because of the density usage in earlier models; however, for this conversion, the average length of passed vehicles must be determined. This length is frequently estimated by researchers. However, because the explanatory variable (density) is not observed but produced, this estimation weakens the model results. Considering these challenges, this research proposes a novel traffic flow modeling approach based on occupancy. The proposed method was tested in three speed-flow rate relationship regions, one of which is congested and two of which are free flow. Free flow speed, capacity, queue discharge flow, breakpoint flow rate, and optimum speed can all be determined more precisely with this method. Furthermore, the nonlinear relationship between speed and flow rate was clarified. The proposed traffic flow model is extremely useful, especially for dynamic traffic management applications, because it is based on directly gathered data such as volume, speed, and occupancy.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationAksoy, G. & Öğüt, K. S. (2022). Direct usage of occupancy data for multiregime speed-flow rate models. Journal of Transportation Engineering Part A: Systems, 149(1). doi:10.1061/JTEPBS.0000773en_US
dc.identifier.doi10.1061/JTEPBS.0000773
dc.identifier.issn2473-2907
dc.identifier.issn2473-2893
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85140411393
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://hdl.handle.net/11729/5103
dc.identifier.urihttp://dx.doi.org/10.1061/JTEPBS.0000773
dc.identifier.volume149
dc.identifier.wosWOS:000885968800020
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorAksoy, Gökeren_US
dc.institutionauthorid0000-0003-4592-7048
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherAmerican Society of Civil Engineers (ASCE)en_US
dc.relation.ispartofJournal of Transportation Engineering Part A: Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDensityen_US
dc.subjectLane occupancyen_US
dc.subjectTraffic flowen_US
dc.subjectTraffic flow modelingen_US
dc.subjectTraffic sensoren_US
dc.subjectFlow controlen_US
dc.subjectFlow rateen_US
dc.subjectFlow modellingen_US
dc.subjectFlow rate modelingen_US
dc.subjectLane occupancyen_US
dc.subjectMacroscopic flowen_US
dc.subjectMacroscopic traffic flow modelen_US
dc.subjectSpeed flowen_US
dc.subjectTraffic sensorsen_US
dc.subjectSpeeden_US
dc.subjectDensity relationshipen_US
dc.subjectVehicleen_US
dc.titleDirect usage of occupancy data for multiregime speed-flow rate modelsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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