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Deconflicting the Urban Drone Airspace

Peinecke, Niklas and Kuenz, Alexander (2017) Deconflicting the Urban Drone Airspace. In: 36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017. IEEE Press. DASC 2017, 2017-09-17 - 2017-09-21, St. Petersburg, FL, USA. doi: 10.1109/dasc.2017.8102048. ISBN 978-153860365-9. ISSN 2155-7195.

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International parcel services as well as online retailers are planning to install their own delivery drone fleets in the foreseeable future. Given the typical volumes of such businesses it is likely that this poses huge demands on the urban airspace in terms of capacity and conflict resolution. Current UTM concepts devise means to automatically detect and solve conflicts in smaller scales. However, it is yet unanswered to what degree a conflict-free operation of hundreds or thousands of drones occupying the same airspace is possible. In this paper we present a generic simulation framework that can load a given urban airspace with a specified demand or frequency of delivery drones. Based on actual street map data the user can specify a delivery area, a regular or randomized delivery schedule and a number of logistic centers to start from. Random destinations are then picked from the street maps and drones are scheduled to service these destinations. Further, the system analyzes the pre-planned drone schedule for conflicts and tries to resolve these conflicts without delaying individual drones too much. We detail statistics on how responsive the system is to adding tasks last-minute, and to unexpected events like emergency helicopters. The results give first insights, to what degree automatical de-conflicting solutions may work in urban areas.

Item URL in elib:https://elib.dlr.de/111798/
Document Type:Conference or Workshop Item (Speech)
Title:Deconflicting the Urban Drone Airspace
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Peinecke, NiklasUNSPECIFIEDhttps://orcid.org/0000-0002-6683-2323UNSPECIFIED
Kuenz, AlexanderUNSPECIFIEDhttps://orcid.org/0000-0001-5192-8894UNSPECIFIED
Date:17 September 2017
Journal or Publication Title:36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Publisher:IEEE Press
Keywords:UAS, urban airspace, UTM, conflict detection, deconflicting
Event Title:DASC 2017
Event Location:St. Petersburg, FL, USA
Event Type:international Conference
Event Start Date:17 September 2017
Event End Date:21 September 2017
Organizer:AIAA / IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Efficient Flight Guidance (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Pilot Assistance
Deposited By: Peinecke, Dr.rer.nat. Niklas
Deposited On:20 Apr 2017 10:19
Last Modified:24 Apr 2024 20:16

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