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Title:

Evaluating the Operational Impact of Tactics Enabled by an AI-Based Decision Support

Document type:
Konferenzbeitrag
Author(s):
Beller, Lukas; Özer, Gökay; Pfahler, Marco; Koppitz, Phillip; Holzapfel, Florian
Abstract:
Machine learning-based go-around predictions have been discussed in the research community for some years. Much work has been done developing algorithms and testing their accuracy, motivated by the assumption that time-in-advance information on the go-around likelihood of arrival aircraft will benefit air traffic controllers. The question of how to incorporate predictive and probabilistic information into the operation and how to evaluate their operational impact has yet to be investigated. This...     »
Book / Congress title:
13th SESAR Innovation Days
Year:
2023
Fulltext / DOI:
doi:10.61009/SID.2023.1.25
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