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Separating air traffic flows by allocating 3D-trajectories

Abstract : This paper introduces two algorithms which allocate optimal separated 3D-trajectories to the main traffic flows. The first approach is a 1 vs. n strategy which applies an A* algorithm iteratively to each flow. The second is a global approach using a genetic algorithm, applied to a population of trajectory sets. The algorithms are first tried on a toy problem, and then applied to real traffic data, using operational aircraft performances. The cumulated costs of the trajectory deviations are used to compare the two algorithms.
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Submitted on : Thursday, April 24, 2014 - 4:46:30 PM
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David Gianazza, Nicolas Durand. Separating air traffic flows by allocating 3D-trajectories. DASC 2004, 23rd Digital Avionics Systems Conference, Oct 2004, Salt Lake City, United States. pp 2.D.4 - 21-13, ⟨10.1109/DASC.2004.1391275⟩. ⟨hal-00938063⟩



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