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/d3855a88-7ab8-40ae-93ae-09c0c5ab1fca

Badea, Andrei (2024): Robust CD&R for U-space Operations: Dataset and software. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d3855a88-7ab8-40ae-93ae-09c0c5ab1fca.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

This dataset contains the tools used to design and optimise U-space operations through the use of tactical and strategic conflict detection and resolution methods. The following parts are included:

• the specific version of the BlueSky Open Air Traffic Simulator used for the experiments, including implementations of the tactical CD&R methods
• the strategic flight plan optimiser created using Gurobi
• the results of the optimisation and simulations

• 2024-08-22 first online, published, posted

4TU.ResearchData

.py, .log, .mps, .txt

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