Engel, Maximilian und Jung, Martin und Wozny, Florian (2025) Cost-Effectiveness of the Digital Air Traffic Controller. AHFE Open Access. 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2025), 2025-04-22 - 2025-04-24, Malaga, Spanien. doi: 10.54941/ahfe1005894. ISBN 978-1-964867-37-3.
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Offizielle URL: https://openaccess.cms-conferences.org/publications/book/978-1-964867-37-3/article/978-1-964867-37-3_3-3/article/978-1-964867-37-3_3
Kurzfassung
Our paper analyzes the economic cost-effectiveness of the "Digital Air Traffic Controller", an AI-supported system developed by the Project “Collaboration of aviation operators and AI systems” (LOKI) of the German Aerospace Center (DLR). In Europe, delays due to air traffic control constraints—particularly staffing shortages—impose annual costs of around €1.9 billion on airlines. Additionally, the annual employment costs for air traffic controllers reach approximately €2.9 billion. With air traffic on the rise, these costs are anticipated to grow further. Currently, two air traffic controllers work collaboratively to manage a sector. The Digital Air Traffic Controller (Digital ATCO) system aims to significantly reduce the workload of air traffic controllers. This innovation reduces staffing requirements, allowing reallocation of personnel to address shortages or build capacity where needed. Our findings indicate that the benefits of Digital ATCO are very likely to outweigh its costs, demonstrating strong potential for economic and operational efficiency in air traffic management.
elib-URL des Eintrags: | https://elib.dlr.de/214392/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | Cost-Effectiveness of the Digital Air Traffic Controller | ||||||||||||||||||||
Autoren: |
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Datum: | 22 April 2025 | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
DOI: | 10.54941/ahfe1005894 | ||||||||||||||||||||
Herausgeber: |
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Verlag: | AHFE Open Access | ||||||||||||||||||||
Name der Reihe: | Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications | ||||||||||||||||||||
ISBN: | 978-1-964867-37-3 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Air traffic controllers, cost-effectiveness, AI, KI | ||||||||||||||||||||
Veranstaltungstitel: | 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI 2025) | ||||||||||||||||||||
Veranstaltungsort: | Malaga, Spanien | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 22 April 2025 | ||||||||||||||||||||
Veranstaltungsende: | 24 April 2025 | ||||||||||||||||||||
Veranstalter : | IHIET-AI | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||
HGF - Programmthema: | Effizientes Luftfahrzeug | ||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | L EV - Effizientes Luftfahrzeug | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Digitale Technologien | ||||||||||||||||||||
Standort: | Köln-Porz | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Luftverkehr > Luftverkehrsökonomie | ||||||||||||||||||||
Hinterlegt von: | Jung, Martin | ||||||||||||||||||||
Hinterlegt am: | 02 Jun 2025 10:37 | ||||||||||||||||||||
Letzte Änderung: | 02 Jun 2025 10:37 |
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