Aircraft Landing

Aircraft landing research focuses on improving safety, efficiency, and automation of this critical phase of flight. Current efforts leverage deep learning, particularly convolutional neural networks, to predict landing times based on trajectory data and integrate this information into optimized scheduling algorithms, addressing uncertainties and reducing delays. These models often incorporate weather data and account for factors like holding patterns to enhance prediction accuracy and improve air traffic management. The resulting improvements in landing efficiency and safety have significant implications for both airport operations and air traffic control.