Air traffic control has evolved significantly in recent years. Air traffic controllers no longer sit in every airport tower to manage traffic on site. From a single control centre, the simultaneous remote control of several airports, especially regional and small airports, can be conducted by one air traffic controller (so-called Multi Remote Control). This reduces cost pressure and enables optimised staff deployment and improved processes. Remote control has already been successfully implemented several times in Germany and Europe. However, the range of tasks in a control center expands when several airports are controlled simultaneously.

In the OMNyFlug project, we primarily focused on the new tasks of planning and coordinating flight movements at the airports to be controlled in parallel by air traffic controllers. Our goal was to develop a planning tool for remote control using and refining available air traffic data. This module will support air traffic control in demand-oriented planning and thus cost-saving distribution of control resources while maintaining high safety requirements. Using machine learning techniques, we identified traffic and resource planning conflict situations and calculated proposed solutions. For display and interaction, we designed and implemented intuitive, graphical user interfaces.

The OMNyFlug project was conducted in the period 2019-2022. Funding was provided by the German Federal Ministry of Transport and Digital Infrastructure as part of the "mFUND" (Modernitätsfonds) funding guideline.