Vertical Speed Prediction for the Efficient Landing of Aircraft Using GRU

Abstract

Air traffic management is currently the process of managing air traffic demand. For support the capacity to handle the amount of air traffic. Whether it is in the airspace sector or the airport area. There are many factors such as the ability of the air traffic providers, physical characteristics of airspace and airport terrain. The main goal of air traffic management is to manage air traffic control. Streamlined and demand-capacity balancing are safe and effective. Whether it is air traffic service providers or passengers. In this research, the experiment was carried out on specific aircraft model A-320. Traveling from Bangkok Suvarnabhumi Airport to Phuket International Airport. In which the landing airport has island terrain. Therefore, requires high security due to physical characteristics in the airspace which has many factors such as wind and wind direction and to provide safety and effective landing. Therefore, take the factors affecting the landing to predict the vertical speed. The epoch =2000, learning rate =0.01, accuracy more than 90% for training set and 90% for test set.