Air traffic control agency enables up to 4 more aircraft landings per hour

The context

European air traffic is routinely disrupted by weather events, staffing shortages, and runway constraints. These factors challenge safety, capacity, and operational efficiency across the network.

The logic

Traditional air traffic management relies on manual processes that struggle to adapt to real-time changes and increasing traffic volumes. Our benchmarks show that delays and inefficiencies compound rapidly under stress, limiting throughput and predictability.

The solution

We implemented AI-driven models to optimize airport capacity and flight path management, by predicting aircraft behavior during landing or take-off.

Safety assessment was also in scope. As the speed profiles are subject to many variables and parameters, the safety buffer times were long. We helped our client to more accurately predict how aircraft decelerate along their trajectory using analysis tools. With this solution, air traffic controllers had a tool that provides aircraft separation distance indicators to accurately and safely provide target time separation on final approach, based on aircraft speed profiles during descent.

Next steps in applied excellence

Scaling these AI solutions will automate over 30,000 daily flight plans and further optimize airspace, runways, and personnel, driving additional productivity and forecast accuracy.