AI-enabled tactical FMP hotspot prediction and resolution

Project Information

ASTRA

Grant agreement ID: 101114787

DOI

10.3030/101114787

Project closed

EC signature date 22 May 2023

Start date 1 September 2023

End date 28 February 2026

Funded under

• Climate, Energy and Mobility

Total cost

€ 1 139 245,00

EU contribution

€ 1 139 244,00

Coordinated by

UNIVERSITA TA MALTA
Malta

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (17)

Functional Requirements Document (FRD) - Final

"Will represent a formal statement of the functional requirements of the proposed SESAR Solution. The content will describe ""what"" the SESAR technological solution has to do but not the ""how""."

Experimental Research Report (ERR) - Intermediate

Will consolidate the results obtained by ASTRA once the validation activities, experiments, etc, have been completed.

Economic Evaluation (ECO-EVAL) - Initial

Will assess the potential benefits that ASTRA’s proposed SESAR Solution could provide against an initial high level estimation of the costs that it may imply.

Experimental Research Plan (ERP) - Intermediate

Will describe the way in which the validation activities will be prepared and executed in order to achieve ASTRA’s validation objectives.

Availability Note (AN)

Will contain details of the development of the ML algorithms for hotspot prediction and resolution.

Functional Requirements Document (FRD) - Intermediate

"Will represent a formal statement of the functional requirements of the proposed SESAR Solution. The content will describe ""what"" the SESAR technological solution has to do but not the ""how""."

Project summary report

Will outline the key outcomes, results and conclusions of the project.

Experimental Research Report (ERR) - Final

Will consolidate the results obtained by ASTRA once the validation activities, experiments, etc, have been completed.

Functional Requirements Document (FRD) - Initial

"Will represent a formal statement of the functional requirements of the proposed SESAR Solution. The content will describe ""what"" the SESAR technological solution has to do but not the ""how""."

Operational Services and Environment Description (OSED) - Final

Will describe the specific activities and interactions of various stakeholders related to the concept of operations of the proposed SESAR Solution.

Economic Evaluation (ECO-EVAL) - Final

Will assess the potential benefits that ASTRA’s proposed SESAR Solution could provide against an initial high level estimation of the costs that it may imply.

CDE activities plan - Initial

Will document all the planned communication dissemination and exploitation activities of the project

Experimental Research Plan (ERP) - Initial

Will describe the way in which the validation activities will be prepared and executed in order to achieve ASTRA’s validation objectives.

Experimental Research Report (ERR) - Initial

Will consolidate the results obtained by ASTRA once the validation activities, experiments, etc, have been completed.

CDE activities plan - Final

Will document all the planned communication, dissemination and exploitation activities of the project.

CDE activities plan - Intermediate

Will document all the planned communication, dissemination and exploitation activities of the project.

Experimental Research Plan (ERP) - Final

Will describe the way in which the validation activities will be prepared and executed in order to achieve ASTRA’s validation objectives.

Data Management Plan (1)

Data Management Plan (DMP) - Final

Will define the data management lifecycle for the data which will be generated or acquired in the project, including aspects of data content, analysis, storage and access.

Publications

Conference proceedings (2)

Real-Time Validation of an AI-Based Solution for Tactical Air Traffic Complexity Prediction and Resolution

Author(s): Gauci J., Koopman C., Grech L., Bezzina M., Borovich N., Jurvansuu M., Landreville R., Brambati F., Vaiopoulos P., Vendruscolo T., Groia M., Berling D., de Bortoli A., Giraud A., Halladjian G.
Published in: 2026
Publisher: AIAA
DOI: 10.2514/6.2026-2556

AI-Enabled Tactical FMP Hotspot Prediction and Resolution (ASTRA): A Solution for Traffic Complexity Management in En-Route Airspace

Author(s): Groia, M., Vendruscolo, T., Vaiopoulos, P., Bonelli, S., Gauci, J., Bezzina, M., Berling, D., Jurvansuu, M., Borovich, N., Koopman, C., Grech, L., Zaidan, R., Bortoli, A. D., & Brambati, F.
Published in: Engineering Proceedings, 2025
Publisher: MDPI
DOI: 10.3390/engproc2025090091

Peer reviewed articles (1)

A Machine Learning Framework for Predicting and Resolving Complex Tactical Air Traffic Events Using Historical Data

Author(s): Anthony De Bortoli, Cynthia Koopman, Leander Grech, Remi Zaidan, Didier Berling and Jason Gauci
Published in: Aerospace, 2026, ISSN 2226-4310
Publisher: MDPI
DOI: 10.3390/AEROSPACE13010054