Flight Allocation to Controllers Based on Flight Centric Complexity
- Felix Mora-Camino
- daniel Delahaye
- Patrice Zombré
- oludolapo A. Olanrewaju
- Fabio Luiz Peres Krykhtine
- Jules Raymond Tapamo
ASECNA, Dakar, Senegal, 2ENAC, Toulouse, France, 3UKZN, Durban, South Africa, 4DUT · Durban, South Africa, 5UFRJ, Rio de Janeiro, Brazil, 6UFF, Niteroi, Brazil.
- Evento
- XXI SITRAER – Fortaleza, CE, Brasil, 2024
- Volume
- Anais do XXI Simpósio de Transporte Aéreo – SITRAER 2024 · ISBN 978-65-272-1008-5 · DOI 10.29327/xxi-sitraer-2024
- Páginas
- 320–329
- Editora
- Even3 Publicações
- Editores
- Francisco Heber Lacerda de Oliveira, Fabiano Rocha, Giovanna Miceli Ronzani Borille, Evandro José da Silva, Mauro Caetano
Abstract
Within the recent Trajetory Based Operations (TBO) framework for Air Traffic Management, the present communication deals with the problem of assigning flights to controllers. A new flight centric complexity measure of air traffic is adopted to characterize the traffic complexity around each flight and then to quantify the workload resulting from its monitoring by traffic controlers. Within the TBO framework, at the pre-tactical level, an original flight centric optimal assignment problem of flights to controllers is formulated. The solution of this problem establishes first the size of the control task force necessary to manage the air traffic over an extended area, and second, an optimal traffic control workload distribution among controllers with the corresponding flights under their monitoring. The computational complexity of this combinatorial problem leads to the development of an approximate solution method to treat it. A heuristic is effectively developed to provide a feasible solution at an acceptable computational effort, allowing the treatment of problems of large dimension. The application of this heuristic to a real size problem is displayed and its solution is analyzed, highlighting the performances that can be expected from it: feasibility with respect to capacity constraints, minimization of interactions between controller teams and a balanced workload distribution. This demonstrates the methodological contribution of this work to a more efficient management of air traffic flows when adopting the TBO framework.
Keywords: Air Traffic Management; Trajectory Based Operations; Flight Centric Operations; Intrinsic Traffic Complexity Measure; Flight Assignment