The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/b12697db-0bce-40e0-bee8-7a4a6f422d94

Badea, Andrei (2024): Dataset: Investigating the Requirements for Hybrid U-space/UTM Conflict Detection and Resolution. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b12697db-0bce-40e0-bee8-7a4a6f422d94.v1

Dataset

• Aerospace Engineering
• Engineering

BlueSky, Conflict Detection, Conflict Resolution, Strategic planning, U-space, unmanned traffic management (UTM), UTM

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Andrei Badea

The following dataset contains two elements: the specific version of the BlueSky Open Air Traffic Simulator that was used for the experiment, including plugins developed for the experiments, and the results and processing code for the produced data. The research objective was to determine the compatibility of current strategic and tactical CD&R methods when used concurrently within a hybrid U-space system. Two commonly used methods (strategic time optimisation deconfliction and state-based tactical deconfliction) were tested in various air traffic scenarios and simulated using the BlueSky simulator.

• 2024-05-27 first online, published, posted

4TU.ResearchData

.py, .log, .txt

TU Delft, Faculty of Aerospace Engineering, Department of Control & Operations