Design of an ATC Tool for Conflict Detection Based on Machine Learning Techniques

Given the ongoing interest in the application of Machine Learning (ML) techniques, the development of new Air Traffic Control (ATC) tools is paramount for the improvement of the management of the air transport system. This article develops an ATC tool based on ML techniques for conflict detection. T...

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主要な著者:	Javier Alberto Pérez-Castán, Luis Pérez-Sanz, Lidia Serrano-Mira, Francisco Javier Saéz-Hernando, Irene Rodríguez Gauxachs, Víctor Fernando Gómez-Comendador
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-01-01
シリーズ:	Aerospace
主題:	air traffic conflict detection machine learning ATC tool
オンライン･アクセス:	https://www.mdpi.com/2226-4310/9/2/67
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