Trajectory prediction in North Atlantic Oceanic airspace by wind netxorking

• Implementing new technologies enables aicraft to exchange the measured meteorological data with each other directly • The data obtained with wind networking is much more accurate than the initial estimations • Adjusted predictions of cruising time and conflicts are much closer to the reality • Wind networking evolves great amelioration of flight prediction • Wind networking is especially efficient in dense traffic conditions • Future work: to apply the concept in other dense areas (ex. big terminal maneuvering areas).