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Article dans une revue

Air Traffic Complexity Map based on Linear Dynamical Systems

Abstract : This paper presents a new air traffic complexity metric based on linear dy-namical systems, of which goal is to quantify the air traffic control difficulty. Previous works have shown that the structure and organization of air traffic are important factors in the perception of the complexity of an air traffic situation, but they usually were not able to explicitly address any pattern organization. The new metric, by identifying the organization properties of trajectories in a traffic pattern, captures some of the key factors involved in ATC complexity. The key idea of this work is to find a linear dynamical system which fits a vector field as closely as possible to the observations given by the aircraft positions and speeds. This approach produces an aggregate complexity metric that enables to identify high (low) complexity regions of airspace and compare their relative complexity. The metric is very adapted to compare different traffic situations for any scale (sector or country).
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Soumis le : jeudi 19 mars 2020 - 12:26:43
Dernière modification le : lundi 5 septembre 2022 - 17:00:10
Archivage à long terme le : : samedi 20 juin 2020 - 14:33:50


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Daniel Delahaye, Adrían García, Manuel Soler, Julien Lavandier, Supatcha Chaimatanan. Air Traffic Complexity Map based on Linear Dynamical Systems. Aerospace, MDPI, 2022, 9 (5), ⟨10.3390/aerospace9050230⟩. ⟨hal-02512103⟩



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