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Density based Management Concept for Urban Air Traffic

Geister, Dagi und Korn, Bernd (2018) Density based Management Concept for Urban Air Traffic. In: 37th IEEE/AIAA International Digital Avionics Systems Conference, DASC 2018. 37th AIAA/IEEE Digital Avionics Systems Conference (DASC) 2018, 2018-09-23 - 2018-09-27, London. ISBN 978-153864112-5. ISSN 2155-7195.

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Kurzfassung

In this paper we proposes a density-based airspace management system for future U-Space. The concept focusses on the integration of new airspace users (e.g., UAS and Urban Air Taxis) into uncontrolled airspace (here airspace G). The advantage of the proposed concept is that it opens up the airspace equally for lowly equipped and highly-equipped UAS. The concept gives incentives for UAS manufacturers and operators to invest in performance relevant technology, but doesn’t exclude lowly equipped airspace users from entering the U-Space airspace. The concept behind this approach relies on efficient airspace segmentation and UAS performance modelling. Based on airspace characteristics (e.g. ground class, geofences, U-Space service availability, occurrence of VFR-traffic or other non-cooperative airspace users) the airspace is segmented into cells of similar requirements. Generally, each airspace user is modelled by an ellipsoid defining its individual performance parameters with regard to navigation, communication and the capability to detect other airspace users (cooperatively and uncooperatively). The lower the overall performance, the larger the resulting safety ellipsoid will be for the aircraft. As a result, an airspace cell might either be used solely by few aircraft with a large ellipsoid – reaching the cell’s capacity – or several aircraft with smaller ellipsoids. This results in an airspace management which allows a lot of freedom at low density, but little freedom at high density.

elib-URL des Eintrags:https://elib.dlr.de/123156/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Density based Management Concept for Urban Air Traffic
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Geister, DagiDagi.Geister (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Korn, BerndBernd.Korn (at) dlr.dehttps://orcid.org/0000-0003-3598-8971170935175
Datum:September 2018
Erschienen in:37th IEEE/AIAA International Digital Avionics Systems Conference, DASC 2018
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
ISSN:2155-7195
ISBN:978-153864112-5
Status:veröffentlicht
Stichwörter:UTM, UAM, U-Space, Traffic Management, Performance based
Veranstaltungstitel:37th AIAA/IEEE Digital Avionics Systems Conference (DASC) 2018
Veranstaltungsort:London
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:23 September 2018
Veranstaltungsende:27 September 2018
Veranstalter :IEEE / AIAA
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 - Effiziente Flugführung (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Flugführung > Pilotenassistenz
Hinterlegt von: Korn, Dr.-Ing. Bernd
Hinterlegt am:14 Nov 2018 10:51
Letzte Änderung:04 Nov 2024 13:50

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