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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

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Categories

• Aerospace Engineering
• Engineering

Keywords

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

Geolocation

Licence

CC BY 4.0

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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.

History

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

Publisher

4TU.ResearchData

Format

.py, .log, .txt

Organizations

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