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: 10.4121/21572364

Groot, Jan (2022): Vertical Conflict Resolution in Layered Airspace with Reinforcement Learning using the BlueSky Open Air Traffic Simulator. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21572364.v1

Software

• Aerospace Transport
• Artificial Intelligence and Image Processing
• Aerospace Engineering

Air traffic management (ATM), BlueSky, Conflict Detection and Resolution, Deep Reinforcement Learning (DRL), Soft Actor Critic, Unmanned Aircraft Systems

GPL-3.0

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

by Jan Groot

Simulation environment build in the BlueSky Open Air Traffic simulator (see reference) for testing the relationship between DRL model efficacy and traffic density during training. Spefically focused on conflict resolution during vertical manoeuvres in a layered airspace.

Before running or going through the code make sure to read the ReadMe file.

The software is also available on github: https://github.com/jangroter/TrafficDensityImpactRL

• 2022-11-17 first online, published, posted

4TU.ResearchData

• https://github.com/TUDelft-CNS-ATM/bluesky

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