Print Email Facebook Twitter Limitations of Conflict Prevention and Resolution in Constrained Very Low-Level Urban Airspace Title Limitations of Conflict Prevention and Resolution in Constrained Very Low-Level Urban Airspace Author Badea, C. (TU Delft Control & Simulation) Morfin Veytia, A. (TU Delft Control & Simulation) Ribeiro, M.J. (TU Delft Control & Simulation) Doole, M.M. (TU Delft Control & Simulation) Ellerbroek, Joost (TU Delft Control & Simulation) Hoekstra, J.M. (TU Delft Control & Operations) Department Control & Operations Date 2021 Abstract Road traffic delay and urban overcrowding are increasing rapidly all over the world. As a result, several companies have proposed the use of small unmanned aerial vehicles (sUAVs) as an alternative to road-based transportation. These small autonomous drones are expected to operate within a thin airspace band (Very Low Level) in high traffic densities in constrained urban environments. This presents a challenge for ensuring the safe separation and efficient routing of drone flights. Current research has made modest progress towards finding solutions for conflict detection and prevention in highly dense and constrained environments (e.g., in-between buildings). In this paper, the state of the art of urban airspace design and conflict prevention and resolution research are discussed, and their applications to constrained environments. Additionally, fasttime high-fidelity simulations of high-density traffic scenarios are used along a non-orthogonal city layout to identify bottlenecks in the performance of speed-based conflict resolution in a multilayered airspace structure. Results show that the current airspace structure and conflict detection and resolution concepts need to be refined to further reduce conflicts and intrusions that occur in constrained environments. First, additional measures must be adapted to further prevent conflicts during turning and merging. Second, conflict resolution manoeuvres must account for speed limits resulting in turn radii which do not cross physical boundaries. Finally, conflict detection needs to consider the topology of the streets to prevent false-positive conflicts and to prepare in advance for conflicts resulting from heading changes in non-linear streets. Subject Urban AirspaceUnmanned Traffic Management (UTM)U-SpaceBlueSky ATC SimulatorConflict Detection and Resolution (CD&R)Velocity Obstacle (VO) To reference this document use: http://resolver.tudelft.nl/uuid:78fcd033-19cb-43be-81af-43ee20a9f0dd Source 11th SESAR Innovation Days Event 11th SESAR Innovation Days, 2021-12-07 → 2021-12-09, virtual event Part of collection Institutional Repository Document type conference paper Rights © 2021 C. Badea, A. Morfin Veytia, M.J. Ribeiro, M.M. Doole, Joost Ellerbroek, J.M. Hoekstra Files PDF SIDs_2021_paper_53.pdf 6.46 MB Close viewer /islandora/object/uuid:78fcd033-19cb-43be-81af-43ee20a9f0dd/datastream/OBJ/view