SynthAIr - Generating Synthetic Aircraft Trajectories - Poster

SynthAIr aims to enhance ATM automation and simulation through AI- driven synthetic data generation, exploring six interconnected use cases. This work focuses on Use Case 4, generating synthetic aircraft trajectories. Why Do Synthetic Trajectories Matter? • Enhance simulations with diverse and realistic scenarios. • Augment existing data to improve machine learning model training. • Safely test new ATM concepts and strategies. • Address data scarcity while maintaining privacy. • Support capacity planning with data-driven insights. • Explore rare events without introducing operational risks. • Expand limited datasets for comprehensive airspace analysis.