Comparison of artificial bee colony and flower pollination algorithms in vehicle delay models at signalized intersections

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dc.contributor.authorKorkmaz, Ersin
dc.contributor.authorAkgungor, Ali Payidar
dc.date.accessioned2021-01-14T18:10:44Z
dc.date.available2021-01-14T18:10:44Z
dc.date.issued2020
dc.departmentKKÜ
dc.descriptionKORKMAZ, Ersin/0000-0003-3725-164X
dc.description.abstractDelay is a significant research topic since it includes indicators such as travel quality, lost time and fuel consumption. Furthermore, the delay is used for optimization of traffic control systems and determination of the level of service at signalized intersections. Therefore, researchers have focused on accurate estimation of delay. The objective of this study is to simply and accurately estimate the delay and evaluate the performance of the proposed approaches which are artificial bee colony (ABC) and flower pollination algorithms (FPA). In this study, ABC and FPA have been used to develop different delay models which are linear, semi-quadratic, quadratic and power forms. Analysis period (T), the green ratio (g/C; effective green to cycle length) and the degree of saturation (x = v/c; volume to capacity) are used as input parameters while developing the models. The results of present models are compared to estimations obtained from analytical models which are Highway Capacity Manual and Australian (Akcelik) delay models. Semi-quadratic form yielded to best results in terms of coefficient of determination (R-2), mean square error and mean absolute error. Additionally, FPA approach showed better performance than ABC approach finding the optimal solution in the lower number of iterations.en_US
dc.identifier.citationBu makale açık erişimli değildir.en_US
dc.identifier.doi10.1007/s00521-018-3670-3
dc.identifier.endpage3597en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85051532224
dc.identifier.scopusqualityQ1
dc.identifier.startpage3581en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-018-3670-3
dc.identifier.urihttps://hdl.handle.net/20.500.12587/12753
dc.identifier.volume32en_US
dc.identifier.wosWOS:000524416400039
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSPRINGER LONDON LTDen_US
dc.relation.ispartofNEURAL COMPUTING & APPLICATIONS
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDelay estimationen_US
dc.subjectArtificial bee colony algorithmen_US
dc.subjectFlower pollination algorithmen_US
dc.subjectSignalized intersectionen_US
dc.titleComparison of artificial bee colony and flower pollination algorithms in vehicle delay models at signalized intersectionsen_US
dc.typeArticle

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