Bezier Search Differential Evolution algorithm based estimation models of delay parameter k for signalized intersections

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dc.authoridKorkmaz, Ersin/0000-0003-3725-164X
dc.contributor.authorAkgüngör, Ali Payidar
dc.contributor.authorKorkmaz, Ersin
dc.date.accessioned2025-01-21T16:36:09Z
dc.date.available2025-01-21T16:36:09Z
dc.date.issued2022
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThis article presents a new methodology for estimating delay parameter k, and proposes analytical models which are used artificial intelligence technique for signalized intersections that considers the variation in traffic flow with under-saturated and over-saturated conditions. The delay parameter k has been expressed as a function of the degree of saturation in the proposed analytical models. Using the Bezier Search Differential Evolution algorithm (BeSD) algorithm, four different model forms were developed separately for under-saturated conditions (x <1) and over-saturated conditions (x > =1). Among the model forms developed as linear, quadratic, power, and logarithmic, the quadratic model presented the best results in both traffic conditions. In the validation of the models, a total of 140 different traffic conditions were determined, 56 of which cover the under-saturated and 84 the over-saturated traffic conditions. According to the statistical results, using k values depending on the proposed model instead of using a constant k value (0.5) provides 1.5 and 4.3 improvements for RMSE and MAPE values in under-saturated traffic conditions respectively, while these improvements in over-saturated traffic conditions have reached 9.5 and 6, respectively. As a result, using k values depending on the proposed model will be effective in obtaining a more accurate delay value. This effect is more evident, especially in over-saturated traffic conditions.
dc.identifier.doi10.1002/cpe.6931
dc.identifier.issn1532-0626
dc.identifier.issn1532-0634
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85126087384
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1002/cpe.6931
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24266
dc.identifier.volume34
dc.identifier.wosWOS:000769626800001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofConcurrency and Computation-Practice & Experience
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectBezier Search Differential Evolution algorithm; degree of saturation; delay parameter k; signalized intersections
dc.titleBezier Search Differential Evolution algorithm based estimation models of delay parameter k for signalized intersections
dc.typeArticle

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