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A Survey on Personalized Conflict Resolution Approaches in Air Traffic Control

Renkhoff, Justus und Ternus, Sarah und Guleria, Yash (2025) A Survey on Personalized Conflict Resolution Approaches in Air Traffic Control. Aerospace. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/aerospace12090751. ISSN 2226-4310.

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Offizielle URL: https://www.mdpi.com/2226-4310/12/9/751

Kurzfassung

The global shortage of air traffic controllers (ATCOs) has led to significant challenges. One of them is the high workload of ATCOs, often resulting in flight delays. This makes it essential to develop solutions that reduce ATCOs' workload in order to increase capacity. One promising approach is the integration of decision-support systems. A typical task for which these systems are used for is the resolution of aircraft conflicts in the upper airspaces. A key challenge in implementing these support systems is to ensure a high acceptance and adoption rate of the proposed advisories. One potential solution to this problem is to personalize the advisories, aligning them with individual ATCOs' preferences and conflict resolution strategies. As this approach offers many promising research directions, this literature review aims to provide a comprehensive overview of existing research in this domain and highlight potential opportunities and open challenges. Overall, 16 papers are discussed in detail to examine the diversity of conflict resolution strategies among ATCOs, the impact of personalization on the acceptance rate of advisories, the technical feasibility of implementing personalization, and the balance between personalized advisories and operational efficiency. Additionally, this paper highlights the opportunities such personalization presents, along with the unresolved challenges that should be addressed in future research.

elib-URL des Eintrags:https://elib.dlr.de/217818/
Dokumentart:Zeitschriftenbeitrag
Titel:A Survey on Personalized Conflict Resolution Approaches in Air Traffic Control
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Renkhoff, Justusjustus.renkhoff (at) dlr.dehttps://orcid.org/0000-0002-7021-734X196599249
Ternus, Sarahsarah.ternus (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Guleria, YashNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:22 August 2025
Erschienen in:Aerospace
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.3390/aerospace12090751
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2226-4310
Status:veröffentlicht
Stichwörter:air traffic control; artificial intelligence; conflict resolution; human–AI teaming
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehr und Auswirkungen
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AI - Luftverkehr und Auswirkungen
DLR - Teilgebiet (Projekt, Vorhaben):L - Integrierte Flugführung
Standort: Braunschweig
Institute & Einrichtungen:Institut für Flugführung > Lotsenassistenz
Hinterlegt von: Renkhoff, Justus
Hinterlegt am:11 Nov 2025 11:39
Letzte Änderung:11 Nov 2025 11:39

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