Machine learning approach to predict ATFM delay (in min) and delayed flights in the European Air Traffic Management Network (EATMN) with only capacity regulations as input
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Updated
Jan 25, 2021 - Python
Machine learning approach to predict ATFM delay (in min) and delayed flights in the European Air Traffic Management Network (EATMN) with only capacity regulations as input
Code and reproducibility materials for reinforcement-learning tactical air traffic flow and capacity management under uncertainty at São Paulo/Guarulhos (SBGR), associated with Transport Policy.
Research prototype: decentralized demand and capacity balancing for air traffic flow management (ATFM) over publish/subscribe messaging. FastAPI, WebSockets, Leaflet.
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