The growing demand for air travel necessitates advancements in air traffic management technologies to ensure safe and efficient operations.
The absence of large-scale curated surface movement datasets in the public domain has hindered the development of scalable and generalizable approaches.
The proposal of the Amelia framework, which includes a large dataset of airport surface movement, a transformer-based baseline for trajectory forecasting, and a training and evaluation benchmark.
The framework and tools have been released to encourage further aviation research in the forecasting domain and beyond.