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ASTAIR

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Auto-Steer Taxi at AIRport

ASTAIR - Auto-Steer Taxi at AIRport - aims at designing a support tool for fully automated ground operations supervision. Increasing the level of automation has the potential to increase airport ground traffic capacity while miti... see more

28/02/2026

ENAC

1M€

Project Budget: 1M€

Project leader

ECOLE NATIONALE DE L AVIATION CIVILE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 5 Participantes

Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2023-05-31

HORIZON-SESAR-2022-DES-ER-01-WA1-2: Fundamental Science and Outreach fo... ExpectedOutcome:Project results are expected to contribute to the following expected outcomes.

I+D

Cerrada

0% 88% 100%

characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

5 Participantes

ENAC

326.75K€ | Leader

DEEP BLUE

248.25K€ | participant

BELSPO

134.62K€ | participant

ADP

156.50K€ | participant

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Project duration: 32 months Date Start: 2023-05-31
End date: 2026-02-28

Project leader

ECOLE NATIONALE DE L AVIATION CIVILE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 1M€

participation deadline Sin fecha límite de participación.

Project description ASTAIR - Auto-Steer Taxi at AIRport - aims at designing a support tool for fully automated ground operations supervision. Increasing the level of automation has the potential to increase airport ground traffic capacity while mitigating the impact on human workload and the environment. For example, AI will be able to initiate timely actions, such as giving clearances to vehicles on the airport aprons and taxiways according to optimal routes, and to control fleet of autonomous tugs to increase ground capacity even more. Human-centered designed tools are needed to supervise, predict, and take over the automation to take full advantage of its potential. ASTAIR aims at defining automation capable of performing complex tasks involved in the management of surface engine-off and conventional taxiing while maximizing human engagement. The key to optimize the overall performance of the collaboration between humans and AI is to adapt intelligent systems to operators’ modus operandi. This will ensure logical consistency across manual and automated control. In ASTAIR, we will propose interactive tools and adaptative AI algorithms that take advantage of operators’ expertise for controlling and engaging with the automation at diverse levels.

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