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Study of the Impact of Traffic Flows on the ATC Actions

It has always been a topic of great interest in air transport management to be able to estimate controller workload. So far, research has not had the opportunity to make use of real data on the controller’s actions. We have enough data to be able to use machine learning methods. The aim of this work...

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Main Authors: Guillermo Gutiérrez Teuler, Rosa María Arnaldo Valdés, Victor Fernando Gómez Comendador, Patricia María López de Frutos, Rubén Rodríguez Rodríguez
Format: Artigo
Language:Inglês
Published: MDPI AG 2022-08-01
Series:Aerospace
Subjects:
air traffic management
artificial intelligence
air traffic control
mental workload
machine learning
explainable AI
Online Access:https://www.mdpi.com/2226-4310/9/8/467
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