Optimum cycle length models using atom search optimization and grasshopper optimization algorithms

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dc.authoridKORKMAZ, Ersin/0000-0003-3725-164X
dc.contributor.authorKorkmaz, Ersin
dc.contributor.authorAkgungor, Ali Payidar
dc.date.accessioned2025-01-21T16:43:16Z
dc.date.available2025-01-21T16:43:16Z
dc.date.issued2022
dc.departmentKırıkkale Üniversitesi
dc.description.abstractA fixed-time traffic control system is widely used to manage the traffic flow at intersections. Cycle length has an important effect on the performance of the fixed-time control system and the Webster model is widely used in the literature to determine the cycle length. However, when the traffic flow ratio (Y) approaches 1, the Webster model loses its effectiveness and cannot determine the cycle length when Y is above 1. In the scope of this study, it is aimed to develop models that can predict cycle length for all traffic conditions in which are Y <= 1 and Y >= 1. Two different heuristic algorithms, atom search optimization (ASO) and grasshopper optimization algorithm (GOA) were used in the development of models and the performances of these algorithms were demonstrated. The efficiency of the developed models has been demonstrated by comparing them with both Webster's model and VISTRO optimization program. Models developed in exponential, power, and quadratic forms have been able to predict cycle lengths with lower delay values by showing better performance than Webster and VISTRO. In addition, statistical results show that the ASO approach is more successful than the GOA approach.
dc.identifier.doi10.1002/cpe.6732
dc.identifier.issn1532-0626
dc.identifier.issn1532-0634
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85119682376
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1002/cpe.6732
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25224
dc.identifier.volume34
dc.identifier.wosWOS:000721806400001
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.subjectatom search optimization; grasshopper optimization algorithm; mathematical modeling; optimum cycle length; traffic engineering
dc.titleOptimum cycle length models using atom search optimization and grasshopper optimization algorithms
dc.typeArticle

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