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Artificial Intelligence controller able to manage Air traffic Control (ATC) and Air Traffic Flow Management (ATFM) within a single framework

Project description

A holistic approach to air traffic

Air traffic flow management and air traffic control are vital for safe and efficient air travel. Historically, these challenges have been tackled separately, resulting in inefficiencies and potential conflicts. In this context, the EU-funded HYPERSOLVER project aims to revolutionise air traffic management by taking a comprehensive approach. This project covers every aspect, from managing aircraft density and intricate flight paths to addressing potential conflicts at different timeframes. Utilising advanced AI reinforcement learning techniques, HYPERSOLVER will continually assess and dynamically adjust air traffic control measures, ensuring the seamless coordination of aircraft and minimising conflicts.

Objective

Air Traffic Flow Management (ATFM) is the problem of adjusting the traffic demand in each traffic volume using ATFM measures so that aircraft can be safely separated during the subsequent Air Traffic Control (ATC) process. On the other hand, ATC officers (ATCOs) give different aircraft heading, speed, and flight level change instructions to separate them in flight. Both ATFM and ATC problems have been subject of research during decades, however, all previous works addressed the ATFM and ATC problems independently. The project aims to develop an HyperSolver based on advanced Artificial Intelligent Reinforcement Learning method with continuous reassessment and dynamic updates, i.e. an holistic solver from end-to-end, covering the whole process to manage, density of aircraft, complexity of trajectories, interactions (potential conflict in Dynamic Capacity Balancing timeframe) of trajectories, conflict of trajectories at medium-term and conflict of trajectories at short-term.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-SESAR-2022-DES-ER-01

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Coordinator

NEOMETSYS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 333 750,00
Address
1 ESP COMPANS CAFFARELLI
31000 Toulouse
France

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Occitanie Midi-Pyrénées Haute-Garonne
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 333 750,00

Participants (3)

Partners (3)

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