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dc.contributor.authorKoşun, Çağlar
dc.contributor.authorÖzdemir, Serhan
dc.date.accessioned2017-10-23T11:47:06Z
dc.date.available2017-10-23T11:47:06Z
dc.date.issued2017-05
dc.identifier.citationKoşun, Ç., and Özdemir, S. (2017). An entropy-based analysis of lane changing behavior: An interactive approach. Traffic Injury Prevention, 18(4), 441-447. doi:10.1080/15389588.2016.1204446en_US
dc.identifier.issn1538-9588
dc.identifier.urihttp://doi.org/10.1080/15389588.2016.1204446
dc.identifier.urihttp://hdl.handle.net/11147/6409
dc.description.abstractObjectives: As a novelty, this article proposes the nonadditive entropy framework for the description of driver behaviors during lane changing. The authors also state that this entropy framework governs the lane changing behavior in traffic flow in accordance with the long-range vehicular interactions and traffic safety. Methods: The nonadditive entropy framework is the new generalized theory of thermostatistical mechanics. Vehicular interactions during lane changing are considered within this framework. The interactive approach for the lane changing behavior of the drivers is presented in the traffic flow scenarios presented in the article. According to the traffic flow scenarios, 4 categories of traffic flow and driver behaviors are obtained. Through the scenarios, comparative analyses of nonadditive and additive entropy domains are also provided. Results: Two quadrants of the categories belong to the nonadditive entropy; the rest are involved in the additive entropy domain. Driving behaviors are extracted and the scenarios depict that nonadditivity matches safe driving well, whereas additivity corresponds to unsafe driving. Furthermore, the cooperative traffic system is considered in nonadditivity where the long-range interactions are present. However, the uncooperative traffic system falls into the additivity domain. The analyses also state that there would be possible traffic flow transitions among the quadrants. This article shows that lane changing behavior could be generalized as nonadditive, with additivity as a special case, based on the given traffic conditions. Conclusions: The nearest and close neighbor models are well within the conventional additive entropy framework. In this article, both the long-range vehicular interactions and safe driving behavior in traffic are handled in the nonadditive entropy domain. It is also inferred that the Tsallis entropy region would correspond to mandatory lane changing behavior, whereas additive and either the extensive or nonextensive entropy region would match discretionary lane changing behavior. This article states that driver behaviors would be in the nonadditive entropy domain to provide a safe traffic stream and hence with vehicle accident prevention in mind.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionof10.1080/15389588.2016.1204446en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDriver behavioren_US
dc.subjectLane changing behavioren_US
dc.subjectNonadditive entropyen_US
dc.subjectSafe distanceen_US
dc.subjectTraffic flowen_US
dc.subjectTraffic safetyen_US
dc.titleAn entropy-based analysis of lane changing behavior: An interactive approachen_US
dc.typearticleen_US
dc.contributor.authorIDTR130950en_US
dc.contributor.iztechauthorKoşun, Çağlar
dc.contributor.iztechauthorÖzdemir, Serhan
dc.relation.journalTraffic Injury Preventionen_US
dc.contributor.departmentIzmir Institute of Technology. City and Regional Planningen_US
dc.contributor.departmentIzmir Institute of Technology. Mechanical Engineeringen_US
dc.identifier.volume18en_US
dc.identifier.issue4en_US
dc.identifier.startpage441en_US
dc.identifier.endpage447en_US
dc.identifier.wosWOS:000399359600018
dc.identifier.scopusSCOPUS:2-s2.0-85006094885
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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