Research outputs

Synthetic Datasets

Synthetic aircraft trajectory datasets published openly on Zenodo. They are documented in deliverable D3.2, Synthetic ATM Dataset, and archived in the SynthAIr community.

DatasetSeptember 20, 2024

Synthetic Aircraft Landing Trajectory Dataset for Oslo Airport

SINTEF

A collection of synthetically generated landing trajectories for Oslo Airport.

DatasetSeptember 16, 2024

Synthetic Aircraft Trajectory Dataset

Abdulmajid Murad (SINTEF), Massimiliano Ruocco (SINTEF)

Synthetically generated aircraft trajectories for multiple specific airport pairs across Europe. The dataset includes high-resolution spatial and temporal information for each trajectory, with key flight parameters such as latitude, longitude, altitude and time, along with synthetic identifiers for each flight.

DatasetSeptember 4, 2024

A Dataset with Synthetic Landing Trajectories for Zurich Airport

Alexei Sharpanskykh (TUD), Sebastiaan Wijnands (TUD)

Synthetic datasets in npy format generated with a TimeGAN-based model designed to capture a range of aircraft landing trajectories at Zurich Airport across different operational scenarios and environmental conditions. The trajectories are segmented in clusters, and a smoothing filter was applied to some of them.

Generating more data

The open-source repositories contain the models and pipelines used in the project, so synthetic data can be regenerated or adapted to other airports and datasets. A summary of the data sources explored during the project is available in the datasets repository.


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Co-funded by the European Union SESAR Joint Undertaking

This project has received funding from the SESAR 3 Joint Undertaking under grant agreement No 101114847 under European Union’s Horizon Europe research and innovation programme.

Contact: Massimiliano Ruocco (SINTEF), massimiliano.ruocco@sintef.no

© 2023–2026 SynthAIr consortium