Dynamic Pairwise Wake Separations for departures based on wake risk monitoring

Introducing more efficient departure operations can help to increase throughput at capacity-constrained airports. SESAR is looking at ways to define a reduction in wake separations for a following aircraft between consecutive departures using dynamic real-time data. 

The solution makes use of big data and machine learning techniques combined with real-time wake monitoring and measurement using a ground-based lidar, MET data and aircraft data to predict wake risk.This allows for separation reductions between consecutive departures.

This dynamic pairwise wake separation means benefits in terms of increased runway throughput capacity due to the reduced, optimised separations between departing aircraft, and safety is maintained. 

BENEFITS

Increased runway throughput

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