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A Mathematical Programming Approach to Optimum Airspace Sectorisation Problem

Published online by Cambridge University Press:  11 November 2019

Hakan Oktal ,
Kadriye Yaman  and
Refail Kasımbeyli
Hakan Oktal*
Affiliation:
(Faculty of Aeronautics and Astronautics, Eskisehir Technical University, Eskisehir, Turkey)
Kadriye Yaman
Affiliation:
(Faculty of Aeronautics and Astronautics, Eskisehir Technical University, Eskisehir, Turkey)
Refail Kasımbeyli
Affiliation:
(Faculty of Engineering, Eskisehir Technical University, Eskisehir, Turkey)
*
(E-mail: [email protected])
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Abstract

The aim of this study is to provide a balanced distribution of air traffic controller workload (ATCW) across airspace sectors taking into account the complexity of airspace sectors and the factors affecting ATCW, both objective and perceived. Almost all the studies focusing on the airspace sectorisation problem use heuristic or metaheuristic algorithms in dynamic simulation environments instead of a mathematical modelling approach. The paper proposes a multi-objective mixed integer mathematical model for airspace sectorisation. The model is applied to the upper, en-route level of Turkish airspace. Geographical information systems (GIS) are used to advantage for airspace analysis. The multi-objective model developed in this paper is scalarised by using the conic scalarisation method. For solving the scalarised problem, the CPLEX and DICOPT solvers of GAMS software are implemented. Finally, the optimal sector boundaries of Turkish airspace are defined.

Keywords

Air TransportationAirspace SectorisationAir Traffic Controller WorkloadMultiple Objective ProgrammingConic Scalarisation
Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 3 , May 2020 , pp. 599 - 612
Copyright
Copyright © The Royal Institute of Navigation 2019

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