Delay estimation models for signalized intersections using differential evolution algorithm

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dc.contributor.authorKorkmaz, Ersin
dc.contributor.authorAkgungor, Ali Payidar
dc.date.accessioned2020-06-25T18:22:45Z
dc.date.available2020-06-25T18:22:45Z
dc.date.issued2017
dc.departmentKırıkkale Üniversitesi
dc.descriptionAKGUNGOR, ALI PAYIDAR/0000-0003-0669-5715
dc.description.abstractDelay is an important parameter in the optimization of traffic signals and the determination of the level of service (LOS) of a signalized intersection since it directly reflects the lost travel time and fuel consumption. The accurate estimation of delay is, therefore, an important issue. The purpose of this study is to develop new delay models with less input parameters by using one of the artificial intelligent techniques. In this research, three types of differential evolution delay estimation models (DEDEM), i.e. linear, exponential and quadratic, were developed using differential evolution (DE) approach. In developing of the delay models, the green ratio (g/C effective green to cycle length) and the degree of saturation (x=v/c; volume to capacity) were considered. The first one changed from 0.35 to 0.60, the second one varied between 0.7 and 1.4. The model outputs were compared analytically to the HCM and Australian (Akcelik) delay models. The study results illustrated that R2, Mean Square Error (MSE) and Mean Absolute Error (MAE) values of DEDEMquadratic, which are 0.97, 207.98, 12.12 respectively, were better than analytical delay models and other types models. As a result, the quadratic form of DEDEM model can be used as an alternative estimation model for delay, and DE approach can be utilized as a model-fitting algorithm as well.en_US
dc.identifier.citationKorkmaz, Ersin & Akgüngör, Ali. (2017). Delay estimation models for signalized intersections using differential evolution algorithm. Journal of Engineering Research. 5. 16-29.en_US
dc.identifier.endpage29en_US
dc.identifier.issn2307-1877
dc.identifier.issn2307-1885
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85033804620
dc.identifier.scopusqualityQ3
dc.identifier.startpage16en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/6889
dc.identifier.volume5en_US
dc.identifier.wosWOS:000415621300002
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAcademic Publication Councilen_US
dc.relation.ispartofJournal Of Engineering Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleDelay estimation models for signalized intersections using differential evolution algorithmen_US
dc.typeArticle

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