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A proposal for a common metric for drone traffic density

Dahle, Ole Henrik and Rydberg, Joakim and Dullweber, Martin and Peinecke, Niklas and Bechina, Aurilla Aurelie Arntzen (2022) A proposal for a common metric for drone traffic density. In: 2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022, pp. 64-72. IEEE. 2022 International Conference on Unmanned Aircraft Systems (ICUAS), 2022-06-21 - 2022-06-24, Dubrovnik, Croatia. doi: 10.1109/ICUAS54217.2022.9836143. ISBN 978-166540593-5. ISSN 2575-7296.

Full text not available from this repository.

Official URL: https://ieeexplore.ieee.org/document/9836143

Abstract

In the last few years, advances in technology, real-time communication and networks have triggered high interest for unmanned aerial vehicles (UAV), also known as drones. The possibility of thousands of drones flying over cities poses a major challenge to the safe sharing of airspace. Therefore, methods of safe separation between drones and manned aircraft in a demanding urban environment should be further investigated. However, there is a need to first define the drone traffic density in order to conduct a realistic simulation. Several research projects have tackled the safety of UAV operations and traffic organization in an urban airspace. From these, we selected the seven most relevant publications for our study that deal with drone traffic density. We conducted an in-depth analysis of their simulation setup of drone traffic densities. However, their approaches were too different to compare directly. This paper outlines our approach to determine the drone traffic density by adopting a comparison metric of average simultaneous drone flights per square kilometer. The outcome of the analysis allowed us to calculate the most suitable reasonable traffic density over the city of Hannover when simulating the separation method for the USEPE project.

Item URL in elib:https://elib.dlr.de/188013/
Document Type:Conference or Workshop Item (Speech)
Title:A proposal for a common metric for drone traffic density
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dahle, Ole HenrikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rydberg, JoakimUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dullweber, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Peinecke, NiklasUNSPECIFIEDhttps://orcid.org/0000-0002-6683-2323UNSPECIFIED
Bechina, Aurilla Aurelie ArntzenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:21 June 2022
Journal or Publication Title:2022 International Conference on Unmanned Aircraft Systems, ICUAS 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/ICUAS54217.2022.9836143
Page Range:pp. 64-72
Publisher:IEEE
ISSN:2575-7296
ISBN:978-166540593-5
Status:Published
Keywords:Urban areas, Autonomous aerial vehicles, Air traffic control, UTM
Event Title:2022 International Conference on Unmanned Aircraft Systems (ICUAS)
Event Location:Dubrovnik, Croatia
Event Type:international Conference
Event Start Date:21 June 2022
Event End Date:24 June 2022
Organizer:IEEE/ICUAS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Integrated Flight Guidance
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Pilot Assistance
Deposited By: Peinecke, Dr.rer.nat. Niklas
Deposited On:05 Sep 2022 08:59
Last Modified:24 Apr 2024 20:49

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