A mixed integer linear programming model for multi-sector planning using speed and heading changes

DOI10.1016/j.cor.2020.105174OpenAlexW3113242194MaRDI QIDQ2027060

Soumaya Yacout, François Soumis, Antoine Saucier, Mohamed Ossama Hassan

Publication date: 21 May 2021

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2020.105174

zbMATH Keywords

mixed integer linear programmingair traffic controlworkload balancingconflict detection and resolutionmulti-sector planning

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Related Items (1)

Robust aircraft conflict resolution under trajectory prediction uncertainty

Uses Software

• Gurobi

Cites Work

• Multiobjective optimization for aircraft conflict resolution. A metaheuristic approach
• A space-discretized mixed-integer linear model for air-conflict resolution with speed and heading maneuvers
• A mixed 0-1 nonlinear optimization model and algorithmic approach for the collision avoidance in ATM: velocity changes through a time horizon
• Maximizing the number of conflict-free aircraft using mixed-integer nonlinear programming
• Two decomposition algorithms for solving a minimum weight maximum clique model for the air conflict resolution problem
• Aircraft deconfliction with speed regulation: new models from mixed-integer optimization

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