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Apprentissage artificiel et application en gestion du trafic aérien

Abstract : This article is a short introduction to some key notions in supervised machine learning. It also presents two applications to air traffic management. The first one consists in learning an air traffic controller workload model from recorded aircraft trajectories and past control sector openings. The second application is about learning models predicting the altitude of climbing aircraft.
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https://hal-enac.archives-ouvertes.fr/hal-02967668
Contributor : Laurence Porte <>
Submitted on : Thursday, October 15, 2020 - 10:14:55 AM
Last modification on : Tuesday, October 20, 2020 - 10:32:06 AM

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  • HAL Id : hal-02967668, version 1

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David Gianazza. Apprentissage artificiel et application en gestion du trafic aérien. Techniques de l'Ingénieur, Technqiues de l'ingénieur, 2018, Innovations en électronique et TIC. ⟨hal-02967668⟩

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