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Optimising aircraft arrivals in terminal airspace by mixed integer linear programming model

Published online by Cambridge University Press:  21 February 2020

R.K. Cecen Open the ORCID record for R.K. Cecen [Opens in a new window]  and
F. Aybek Çetek
R.K. Cecen*
Affiliation:
Alumnus Anadolu University, Eskisehir, Turkey
F. Aybek Çetek*
Affiliation:
Assistant Professor Eskisehir Technical University, Eskisehir, Turkey
*
ramazankursatcecen@anadolu.edu.tr
faybek@eskisehir.edu.tr
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Abstract

Air traffic flow becomes denser and more complex within terminal manoeuvering areas (TMAs) due to rapid growth rates in demand. Effective TMA arrival management plays a key role in the improvement of airspace capacity, flight efficiency and air traffic controller performance. This study proposes a mixed integer linear programming model for aircraft landing problems with area navigation (RNAV) route structure using three conflict resolution and sequencing techniques together: flexible route allocation, airspeed reduction and vector manoeuver. A two-step mixed integer linear programming model was developed that minimises total conflict resolution time and then total airborne delay using lexicographic goal programming. Experimental results demonstrate that the model can obtain conflict-free and time optimal aircraft trajectories for RNAV route structures.

Keywords

Air traffic flow managementconflict-free arrival sequencingmixed integer linear programminggoal programmingextended terminal airspace
Type
Research Article
Information
The Aeronautical Journal , Volume 124 , Issue 1278 , August 2020 , pp. 1129 - 1145
Copyright
© Royal Aeronautical Society 2020

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