Uncertainty Quantification for Inbound Air Traffic Demand in LVNL’s Decision Support Tool
Efficiently managing inbound air traffic flows requires precise demand prediction to prevent congestion and ensure safety. Currently, LVNL’s Decision Support Tool (DST) supports this by providing deterministic point predictions. However, these predictions do not convey the range of possible outcomes. In a dynamic operational environment like Schiphol, relying solely on a single predicted number can lead to overconfidence and inefficient resource allocation when actual demand deviates from the forecast.