The project will design a support tool to fully automate the supervision of airport ground operations. The partners will prototype a human-machine interface that will make use of algorithms to autonomously manage vehicle movements on the airport surface. The project aims to provide the controller with enough flexibility to locally tweak the algorithm rules to cope with operational events.

The projects aims to promote a cohesive operational environment that integrates manual and autonomous functionalities, enhancing efficiency, safety, and sustainability in managing engine-off and conventional taxiing operations across major European airports. Through interactive tools and adaptive AI algorithms, ASTAIR aims to augment the capacity of airport ground operations while reducing the impacts on human workload and the environment.

The use of a human-centred approach promotes a coordinated collaboration between human-controlled and automated processes, drawing on operators' expertise to control and engage with the automation at varied levels, thereby ensuring the optimisation of the collaboration between humans and AI within the complexities of taxi management and control operational tasks.