An algorithmic application with flexible airspace approach

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dc.contributor.authorKokhan, Ahmet
dc.contributor.authorKokhan, Serhan
dc.contributor.authorGokdalay, Meric
dc.date.accessioned2024-10-04T18:48:11Z
dc.date.available2024-10-04T18:48:11Z
dc.date.issued2023
dc.departmentBayburt Üniversitesien_US
dc.description.abstractPurposeThe purpose of this study is to develop an operational level decision support system model for air traffic controllers (ATCos) within the framework of the Flexible Use of Airspace (FUA) concept to enable more efficient use of airspace capacity. This study produces a systematic solution to the route selection process so that the ATCo can determine the most efficient route with an operational decision support system model using Dijkstra's Shortest Path Algorithm. Design/methodology/approachIn this study, a new decision support system model for ATCos in decision-making positions was recommended and used. ATCos use this model as a main model for determining the shortest and safest route for aircraft as an operational-level decision support system. Dijkstra Algorithm, used in the model, is defined step by step and then explained with the pseudocode. FindingsIt has been determined that when the FUA concept and DSS are used while the ATCo chooses a route, significant fuel, time and capacity savings are achieved in flight operations. Emissions resulting from the negative environmental effects of air transportation are reduced, and significant capacity increase can be achieved. The operational level decision support system developed in the study was tested with 55 scenarios on the Ankara-Izmir flight route compared to the existing fixed route. The results for the proposed most efficient route were achieved at 11.22% distance (nm), 9.36%-time (min) savings and 837.71 kg CO2 emission savings. Originality/valueAs far as the literature is reviewed, most studies aimed at increasing airspace efficiency produce solutions that try to improve rather than replace the normal process. Considering the literature positioning of this study compared to other studies, the proposed model provides a new systematic solution to the problems that cause human-induced route inefficiency within the framework of the FUA concept.en_US
dc.identifier.doi10.1108/AEAT-06-2022-0147
dc.identifier.endpage1053en_US
dc.identifier.issn1748-8842
dc.identifier.issn1758-4213
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-85149495138en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1045en_US
dc.identifier.urihttps://doi.org/10.1108/AEAT-06-2022-0147
dc.identifier.urihttp://hdl.handle.net/20.500.12403/2953
dc.identifier.volume95en_US
dc.identifier.wosWOS:000943738700001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.ispartofAircraft Engineering and Aerospace Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFlexible use of airspaceen_US
dc.subjectAir traffic managementen_US
dc.subjectShort path algorithmen_US
dc.subjectDecision support systemen_US
dc.titleAn algorithmic application with flexible airspace approachen_US
dc.typeArticleen_US

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