A metaheuristic approach for aircraft landing sequencing and to increase runway capacity
DOI:
https://doi.org/10.14295/transportes.v29i4.2500Keywords:
Aircraft landing sequencing, Air traffic flow management, Runway capacity, Optimization, MetaheuristicsAbstract
Runway capacity problems are present at several airports around the world. The efficient and effective execution of the aircraft sequencing for landing has become an alternative for increasing runway capacity at the tactical level. The aircraft sequencing problem aims to determine the best aircraft processing order for landing towards optimizing the runway usage and mitigate delays, among other objectives, subject to a series of operational restrictions. This study aims to develop a solution method for the aircraft sequencing problem that is capable of producing runway capacity gains, generating feasible solutions in low computational time and maintaining equity among the airlines by respecting the maximum number of aircraft position changes in a new sequence. The method is based on the simulated annealing metaheuristic adapted to the context of the problem studied. The Airland dataset, available in the OR-library, and actual data from the São Paulo/Guarulhos International Airport were used to evaluate the potential benefits of the method proposed. The results showed capacity gains of up to 21% for the theoretical data and of 10% for the actual data.
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Copyright (c) 2021 Daniel Alberto Pamplona, Mayara C.R Murça, Alexandre G. de Barros, Claudio Jorge Pinto Alves
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