Simulation of Transport Drones in Hamburg City with Central Conflict Resolution

Publikationstyp
Conference Paper
Date Issued
2023
Sprache
English
Author(s)
Berling, Jan 
Lufttransportsysteme M-28  
Gollnick, Volker  
Lufttransportsysteme M-28  
TORE-URI
https://hdl.handle.net/11420/45581
Citation
72. Deutscher Luft- und Raumfahrtkongress (DLRK 2023)
Contribution to Conference
72. Deutscher Luft- und Raumfahrtkongress, DLRK 2023  
Publisher DOI
10.25967/610463
Publisher Link
https://www.dglr.de/publikationen/2024/610463.pdf
This paper introduces a simulation for the safe operation of cargo drones in urban areas. A modular workflow is adapted to simulate the transport between fixed points using the Aurelia X6 pro drone with a payload of up to 5kg. This work considers a future scenario beyond current drone regulations. A high demand is assumed, generating revenues equivalent to bicycle courier rates. The maximum distance of 15km is characterized by non-permanent visibility, indicating that operations require external safety measures Beyond Visual Line of Sight (BVLOS). Flights have to avoid no-fly zones, which are provided by Deutsche Flugsicherung (DFS) in the DIPUL system. For safe operations, flights must be separated in the air, for which separation minima are developed for the network, extending LBA recommendations. Lateral separation minima include Flight Geography, Contingency Volume, and a network buffer for interpolation gaps. Flights follow a network of predefined waypoints and segments, with parallel tracks separated by the separation minima, flying at 120m above mean sea level (MSL), providing a vertical buffer to a minimum altitude of 100m and an upper limit of 300m. Trajectories are calculated based on Aurelias performance, resulting in 4D points to be separated. Conflicts between planned trajectories are detected at intervals and resolved by a centralized deconfliction module. The network performance of a full days traffic is evaluated based on trip duration, detours, and resolved flights. The potential revenue from all flights is compared to landing and navigation costs, indicating the expected resource flows.