MALAT: Machine Learning for Air Traffic

This project aims at developing machine-learning based techniques to improve Air Traffic Control through better forecasting of wind speed along plane trajectories, and better estimation of planes maximum and minimum climbing rates.
Confederation-Funded Technology Transfer
Idiap Research Institute
SkySoft-ATM
Innosuisse
Mar 01, 2020
Feb 28, 2023