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
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
Categories
Licence CC BY 4.0
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.ResearchDataFormat
.py, .log, .mps, .txtOrganizations
TU Delft, Faculty of Aerospace Engineering, Department of Control & OperationsDATA
Files (1)
- 9,532,507,050 bytesMD5:
98f8ca3cbe2b01deed142fb2e0286616
robust_CDR.zip