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Segmented Standard Taxi Routes – A New Way to Integrate Remotely Piloted Aircraft into Airport Surface Traffic

Finke, Michael und Lorenz, Sandro (2020) Segmented Standard Taxi Routes – A New Way to Integrate Remotely Piloted Aircraft into Airport Surface Traffic. Aerospace. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/aerospace7060083. ISSN 2226-4310.

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Kurzfassung

The safe and orderly integration of unmanned aircraft in the airspace is surely among the most difficult challenges to be solved in the near future. However, a safe and fluid traffic management on the ground is not less important and not less challenging, as completely different aspects have to be considered here. Much less work has been done yet to solve this question. In the frame of the project Surface Management Operations (SuMO), a procedural solution has been developed to enable fully integrated unmanned airport ground movements while allowing air traffic controllers to guarantee a safe, orderly and expeditious flow of traffic. This concept is based on the idea of segmented standard taxi routes for unmanned aircraft, while maintaining current procedures for manned aircraft. From 2017 to 2019, a two-stage validation campaign validated this new solution. No concerns regarding safety or human factors issues were revealed. Access and Equity, as well as Interoperability, were found to be very satisfying. A fast time simulation of mixed manned and unmanned traffic, using the proposed solution, was almost as efficient as pure manned traffic and can easily be implemented at medium-size airports. This article provides information about the experimental setup and the conduction of both validations stages, and illustrates obtained results. It closes with a discussion and an outlook.

elib-URL des Eintrags:https://elib.dlr.de/135412/
Dokumentart:Zeitschriftenbeitrag
Titel:Segmented Standard Taxi Routes – A New Way to Integrate Remotely Piloted Aircraft into Airport Surface Traffic
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Finke, MichaelMichael.Finke (at) dlr.dehttps://orcid.org/0000-0003-2355-7779NICHT SPEZIFIZIERT
Lorenz, SandroSandro.Lorenz (at) dlr.dehttps://orcid.org/0000-0002-9140-6844NICHT SPEZIFIZIERT
Datum:25 Juni 2020
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/aerospace7060083
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2226-4310
Status:veröffentlicht
Stichwörter:unmanned aircraft; RPAS; integration; airport; surface traffic; air traffic control; SESAR; segmented standard taxi routes; towing; fast-time simulation
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehrsmanagement und Flugbetrieb
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AO - Air Traffic Management and Operation
DLR - Teilgebiet (Projekt, Vorhaben):L - Luftverkehrskonzepte und Betrieb (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Flugführung > Lotsenassistenz
Institut für Flugführung > ATM-Simulation
Hinterlegt von: Finke, Michael
Hinterlegt am:14 Jul 2020 06:54
Letzte Änderung:24 Okt 2023 15:07

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