The specific objectives of AISA are the followings:
- Explore the effects of human-machine distributed situational awareness and opportunities for automation of monitoring tasks in en-route operations.
- Identify the data needed by air traffic controller (ATCO) to ensure that the proposed solution is correct and develop the method to provide that data.
- Investigate methods for adaptation of the automated system to changes of the environment ensuring business continuity and safety
Instead of automating isolated individual tasks, such as conflict detection or coordination, we propose building a foundation for automation by developing an intelligent situation-aware system. Sharing the same team situational awareness among air traffic controller members and AI will enable the automated system to reach the same conclusions as ATCOs when confronted with the same problem and to be able to explain the reasoning behind those conclusions. This system will at first be able to automate some of the monitoring tasks, because machines cannot currently reach the same level of awareness as humans, but as the development progresses it will be able to take over more complex tasks.
Funded by
Contact information
Prof. Tomislav Radišić
University of Zagreb
tradisic@fpz.unizg.hr
This project has received funding from the SESAR Joint Undertaking under Grant Agreement No. 892618, under European Union’s Horizon 2020 Research and Innovation programme.
Copyright © 2020 AISA Consortium