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Robust aircraft conflict resolution under trajectory prediction uncertainty
Affiliation:1. Department of Computer Science, University of Helsinki, 00560, Finland;2. SKEMA Business School, Université Côte d''Azur, Sophia Antipolis, France
Abstract:In air traffic control, aircraft velocity may be perturbed due to weather effects or measurements errors and affect trajectory prediction. We address the aircraft conflict resolution problem in the presence of such perturbations. We consider polyhedral uncertainty sets on aircraft velocity, develop a budgeted robust optimization approach and show that it is amenable to mixed-integer optimization. Numerical experiments reveal that perturbations of the order of 5% on aircraft velocities can be accounted for without significantly impacting performance.
Keywords:Mixed-integer optimization  Robust optimization  Aircraft conflict resolution  Trajectory prediction uncertainty  Air traffic control
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