Abstract
Aviation authorities are seeking optimization methods to better use the available infrastructure and better manage aircraft movements. This paper deals with the realtime scheduling of take-off and landing aircraft at a busy terminal control area and with the optimization of aircraft trajectories during the landing procedures. The first problem aims to reduce the propagation of delays, while the second problem aims to either minimize the travel time or reduce the fuel consumption. Both problems are particularly complex, since the first one is NP-hard while the second one is nonlinear and a combined solution needs to be computed in a short-time during operations. This paper proposes a framework for the lexicographic optimization of the two problems. Computational experiments are performed for the Milano Malpensa airport and show the existing gaps between the performance indicators of the two problems when different lexicographic optimization approaches are considered.
Highlights
Air traffic control must ensure safe, ordered and rapid transit of aircraft on the ground and in the air segments
This paper proposes a framework for the lexicographic optimization of the two problems
This paper addresses the first aspect by formulating the Terminal Control Area (TCA)-ASP as a job shop scheduling model with additional constraints
Summary
Air traffic control must ensure safe, ordered and rapid transit of aircraft on the ground and in the air segments. According to recent surveys on the aircraft scheduling literature [1,2,3, 8, 11], there is still a need to develop integrated optimization approaches for solving the TCA-ASP and the ATOP. This topic requires to take simultaneously into consideration the following aspects: 1. The second aspect is addressed by formulating and solving an optimal control problem, whose solution provides the reference trajectory for each aircraft flying through each resource.
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