In collaboration with the internationally present airport ground handling service provider Swissport, our team has begun work on the development of AI and ML systems which will monitor operations, simulate future events and provide recommendations for optimisation and disturbance mitigation.
Aviation being as volatile as it is, Swissport’s operations are subject to a multitude of external variables which can have substantial negative impacts, leading to delays and customer dissatisfaction. These uncontrollable events are equally difficult to predict for human dispatchers, making choosing an appropriate course of action equally challenging. The envisioned solution reduces the mental load for human dispatchers by serving as an easily accessible monitoring system, providing not just real-time metrics but also prognoses and trajectories for different time-horizons. An AI system trained through observation of human dispatchers provides action recommendations, which can be accepted, rejected or adjusted by the human operator, creating an online learning environment for the agent while simultaneously supporting human decision-making.
Similar to the AI4REALNET project, a high degree of human control is essential to the project, with the end goal of fostering trust and an environment of mutual learning between AI agents and human operators.
Acknowledgement
This project is funded by Innosuisse. The project is ongoing and with a start in October 2023