Energy Efficiency in Rail Systems with Coasting Control Method Using GA and ABC Optimizations

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dc.authoridCam, Ertugrul/0000-0001-6491-9225
dc.contributor.authorArikan, Yagmur
dc.contributor.authorSen, Tolga
dc.contributor.authorCam, Ertugrul
dc.date.accessioned2025-01-21T16:38:34Z
dc.date.available2025-01-21T16:38:34Z
dc.date.issued2021
dc.departmentKırıkkale Üniversitesi
dc.description.abstractToday, reducing the energy consumption of rail systems is one of the issues that attract researchers' attention. There are many methods to reduce energy consumption and coasting control method has been used in this study. The driving modelling of the vehicle has been carried out by considering all parameters. A new objective function has been determined and for optimization, genetic algorithm (GA) and artificial bee colony (ABC) algorithm have been preferred. The study has been tested with the data of Ankaray metro line. When the proposed optimized driving has been compared with practical driving of the vehicle, the energy savings rate is 13.79% in GA and 13.45% in ABC for a driving. Despite these significant savings ratios, the increase in travel time has been calculated at 1.7% in GA and 1.55% in ABC. When the obtained savings rates are considered annually, this study may greatly contribute to sustainable life.
dc.description.sponsorshipKirikkale University Scientific Research and Projects Coordination Office [2018/016]
dc.description.sponsorshipThis work is supported by Kirikkale University Scientific Research and Projects Coordination Office with grant number 2018/016.
dc.identifier.doi10.17559/TV-20200511115919
dc.identifier.endpage1135
dc.identifier.issn1330-3651
dc.identifier.issn1848-6339
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85111605165
dc.identifier.scopusqualityQ3
dc.identifier.startpage1127
dc.identifier.urihttps://doi.org/10.17559/TV-20200511115919
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24693
dc.identifier.volume28
dc.identifier.wosWOS:000675891000008
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherUniv Osijek, Tech Fac
dc.relation.ispartofTehnicki Vjesnik-Technical Gazette
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectartificial bee colony algorithm; coasting control; dynamic model; energy consumption; genetic algorithm; rail systems
dc.titleEnergy Efficiency in Rail Systems with Coasting Control Method Using GA and ABC Optimizations
dc.typeArticle

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