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dc.contributor.authorTercan, Emre
dc.contributor.authorBeşdok, Erkan
dc.contributor.authorTapkın, Serkan
dc.date.accessioned2020-05-06T12:44:58Z
dc.date.available2020-05-06T12:44:58Z
dc.date.issued2020
dc.identifier.citationTercan, E., Beşdok, E. & Tapkın, S. (2020). Heuristic modelling of traffic accident characteristics. The International Journal of Transportation Research.en_US
dc.identifier.issn1942-7875
dc.identifier.urihttp://hdl.handle.net/20.500.12566/472
dc.description.abstractDue to the complex structure of observation based traffic accident data and the absence of an analytic model to define their characteristics, different models are required. Accident characteristics have been modeled for different road segments with two different methods: evolutionary data clustering method and resilient neural networks. In the first method, observation data was clustered using an evolutionary search-based clustering algorithm. The first method is based on determining whether observation based test data have the conditions of a possible death or injury accident based on the distance to the cluster centers obtained. The second one is a regression method that predicts whether an accident will cause death or injury according to observation based traffic data in test road segments by using resilient neural networks. Experiment results show that data analysis methods are very effective in determining the existence of the conditions that may cause accidents resulting in death or injury.en_US
dc.description.sponsorshipNo sponsoren_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.replacesInternational publicationen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectTraffic accidenten_US
dc.subjectTrafik kazasıtr_TR
dc.subjectTraffic safetyen_US
dc.subjectTrafik güvenliğitr_TR
dc.subjectData clusteringen_US
dc.subjectVeri kümelemetr_TR
dc.subjectResilient neural networksen_US
dc.subjectEsnek sinir ağlarıtr_TR
dc.subjectEvolutionary computationen_US
dc.subjectEvrimsel hesaplamatr_TR
dc.subjectOptimizationen_US
dc.subjectOptimizasyontr_TR
dc.subjectDifferential search algorithmen_US
dc.subjectDiferansiyel arama algoritmasıtr_TR
dc.subjectCalinski-Harabasz indexen_US
dc.subjectCalinski-Harabasz Endeksitr_TR
dc.titleHeuristic modelling of traffic accident characteristicsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.wosWOS:000517895800001
dc.identifier.scopus2-s2.0-85080971884
dc.contributor.orcid0000-0003-1417-9972 [Tapkın, Serkan]
dc.contributor.abuauthorTapkın, Serkan
dc.contributor.yokid50568 [Tapkın, Serkan]
dc.contributor.ScopusAuthorID23487315300 [Tapkın, Serkan]
dc.identifier.doihttps://doi.org/10.1080/19427867.2020.1734273


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