USECASE
Air traffic control agency enables up to 4 more aircraft landings per hour
AI models predict aircraft behavior and optimize capacity, enabling safer, more accurate separation and more efficient runway and flight‑path management.
RESEARCH PAPER 22.12.2025
Flight Load Factor Predictions based on Analysis of Ticket Prices and other Factors
The ability to forecast traffic and to size the operation accordingly is a determining factor, for airports. However, to realise its full potential, it needs to be considered as part of a holistic approach, closely linked to airport planning and operations. To ensure airport resources are used efficiently, accurate information about passenger numbers and their effects on the operation is essential. Therefore, this study explores machine learning capabilities enabling predictions of aircraft load factors.