USEPE project includes fast time simulation for validation of D2-C2 [1]. For that purpose, BlueSky ATM simulator is selected since it is an open source platform which enables new features with plugins [2].
Thus, a part of USEPE, the Machine Learning (ML) implementations are integrated to BlueSky in the form of plugin.
The first version of the plugin (namely USEPE_ML) is released to be used for interested parties and their feedback. The plugin is designed to be flexible and resource friendly.
The first version analysis the simulation results with ML techniques in terms of separation.
No coding skill is required. Activation of the plugin is sufficient to run the analysis.
More features will be available in the following version. Subscribe our newsletter and LinkedIn page to stay informed.
We are excited to hear your feedbacks.
https://www.linkedin.com/company/usepe-project/
Rina Komatsu: rinakomatsu2021@gmail.com
Serkan Güldal: SrknGldl@hotmail.com
[1] https://usepe.eu/publication/usepe-d3-1-concept-of-operations-outline-2/
[2] https://github.com/TUDelft-CNS-ATM/bluesky
