Project description
Support tool for fully automated airport ground traffic management
Automating airport ground traffic can boost capacity and minimise environmental and human workload impacts. Artificial intelligence (AI) can offer vehicle clearances based on optimal routes and help manage fleets of autonomous tugs. Nevertheless, human-centred tools must oversee and if necessary assume control of automation to fully realise its potential. The EU-funded ASTAIR project will design a seamless partnership between humans and AI to organise movements on all airport surfaces. The project aims to align intelligent systems with the operators’ workflow for consistent control, thereby optimising collaboration between humans and AI systems. Increasing the level of automation overlooking all ground movements will help increase the general predictability of airport turnaround operations. Moreover, it will help manage the additional complexity induced by engine-off taxiing techniques.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
- HORIZON.2.5 - Climate, Energy and Mobility Main Programme
Call for proposal
(opens in new window) HORIZON-SESAR-2022-DES-ER-01
See other projects for this callFunding Scheme
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinator
31400 Toulouse
France