Robust CD&R for U-space Operations: Dataset and software

DOI:10.4121/d3855a88-7ab8-40ae-93ae-09c0c5ab1fca.v1
The DOI displayed 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
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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

History

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

Publisher

4TU.ResearchData

Format

.py, .log, .mps, .txt

Organizations

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

DATA

Files (1)

  • 9,532,507,050 bytesMD5:98f8ca3cbe2b01deed142fb2e0286616robust_CDR.zip