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Assessment of the 3D-separation of Air Traffic Flows

Abstract : This paper is a continuation of [1] and [2], where two algorithms were introduced, allocating optimal separated 3D-trajectories to the main traffic flows. The reader may also refer to [3] (PhD thesis, in french) for more details. In [1], these algorithms - an A* algorithm for the sequential strategy, and an evolutionary algorithm for the global optimization - were tried on a toy problem, and the two strategies were compared. In [2], the algorithms were again briefly introduced and illustrated on the same toy problem, and then applied to real traffic data, using operational aircraft performances, but with only one 3D-trajectory per flow. In this paper, we present more realistic models of 3D-flows, with several trajectories per origin-destination link. The 3D-separation concept is then assessed by comparing the conflicts detected in a traffic of reference, with the conflicts detected when the aircraft belonging to the main traffic flows follow separated 3D-trajectories.
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David Gianazza, Nicolas Durand. Assessment of the 3D-separation of Air Traffic Flows. ATM 2005, 6th USA/ Europe Air Traffic Management Research and Development Seminar, Jun 2005, Baltimore, United States. pp xxxx. ⟨hal-00938079⟩

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