An automatic calibration procedure of driving behaviour parameters in the presence of high bus volume

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dc.authorid0000-0001-5425-0572
dc.authorid0000-0002-2789-8645
dc.authorid0000-0001-8522-3382
dc.authorid0000-0001-9113-3316
dc.contributor.authorDadashzadeh, Nimaen_US
dc.contributor.authorErgün, Muraten_US
dc.contributor.authorKesten, Ali Sercanen_US
dc.contributor.authorZura, Marijanen_US
dc.date.accessioned2020-02-05T02:51:33Z
dc.date.available2020-02-05T02:51:33Z
dc.date.issued2019-11
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Civil Engineeringen_US
dc.description.abstractMost of the microscopic traffic simulation programs used today incorporate car-following and lane-change models to simulate driving behaviour across a given area. The main goal of this study has been to develop an automatic calibration process for the parameters of driving behaviour models using metaheuristic algorithms. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and a combination of GA and PSO (i.e. hybrid GAPSO and hybrid PSOGA) were used during the optimization stage. In order to verify our proposed methodology, a suitable study area with high bus volume on-ramp from the 0-1 Highway in Istanbul has been modelled in VISSIM. Traffic data have been gathered through detectors. The calibration procedure has been coded using MATLAB and implemented via the VISSIM-MATLAB COM interface. Using the proposed methodology, the results of the calibrated model showed that hybrid GAPSO and hybrid PSOGA techniques outperformed the GA-only and PSO-only techniques during the calibration process. Thus, both are recommended for use in the calibration of microsimulation traffic models, rather than GA-only and PSO-only techniques.en_US
dc.description.sponsorshipThis study is a part of Ph.D. thesis of the corresponding author from the Istanbul Technical University, Turkey. We would like to thank Prof. Dr. Toma? Maher and Assist. Dr. Rok Marseti? from the Traffic Technical Institute of Civil and Geodetic Engineering Faculty, University of Ljubljana, Slovenia, for their kind support, valuable comments, and helpful suggestions. The authors are also thankful to the PTV-AG Karlsruhe Company for their support in providing a thesis-based unlimited version of VISSIM softwareen_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationDadashzadeh, N., Ergün, M., Kesten, S. & Žura, M. (2019). An automatic calibration procedure of driving behaviour parameters in the presence of high bus volume. Promet - traffic&transportation, 31(5), 491-502. doi:10.7307/ptt.v31i5.3100en_US
dc.identifier.doi10.7307/ptt.v31i5.3100
dc.identifier.endpage502
dc.identifier.issn0353-5320
dc.identifier.issn1848-4069
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85074907695
dc.identifier.scopusqualityQ2
dc.identifier.startpage491
dc.identifier.urihttps://hdl.handle.net/11729/2238
dc.identifier.urihttps://dx.doi.org/10.7307/ptt.v31i5.3100
dc.identifier.volume31
dc.identifier.wosWOS:000498617200002
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorKesten, Ali Sercanen_US
dc.institutionauthorid0000-0001-8522-3382
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherFaculty of Transport and Traffic Engineeringen_US
dc.relation.ispartofPromet - Traffic - Trafficoen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAlgorithmen_US
dc.subjectAutomationen_US
dc.subjectCalibrationen_US
dc.subjectDriving behaviouren_US
dc.subjectEstimationen_US
dc.subjectGenetic algorithmen_US
dc.subjectHeuristicsen_US
dc.subjectHybrid pso-gaen_US
dc.subjectIstanbul [Turkey]en_US
dc.subjectLink flowsen_US
dc.subjectMicrosimulationen_US
dc.subjectOptimizationen_US
dc.subjectParameterizationen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectRoad trafficen_US
dc.subjectTraffic controlen_US
dc.subjectTraffic simulation modelsen_US
dc.subjectTransportation modeen_US
dc.subjectTurkeyen_US
dc.subjectVISSIMen_US
dc.titleAn automatic calibration procedure of driving behaviour parameters in the presence of high bus volumeen_US
dc.typeArticleen_US
dspace.entity.typePublication

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