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USEPE: Machine Learning

USEPE project has introduced Density Dynamic Coridor Concept (in short D2-C2) method to improve safety and efficiency in U-Space. The D2-C2 method is tested through BlueSky - The Open Air Traffic Simulator. The collected data is visualized, analysed, and improved by well respected machine learning algorithms such as Neural Network, Random Forest, and Neural Network.

Code structure

The python codes are collected in the functions folder. The python scripts are written with minimality aproach to provide easy to debug and improve.
The input data and output data are in the data folder. Thus, simplicity is aimed.

For feedback and sugestions

For any question or suggestion, we will be happy to provide support.
Contact person:
Serkan Güldal, SrknGldl[at]hotmail.com

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USEPE Machine Learning implementations

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