A Study on Fundamental Techniques for Departure Time Prediction

At major airports and in the surrounding airspace, mitigating air traffic congestion remains a critical challenge. To address this, it is essential to introduce digital technologies that centralize information such as aircraft departure times from parking stands, movements on taxiways, and positions within various airspace sectors. These technologies play a key role in alleviating air traffic congestion.

This research focuses on improving the accuracy of core technologies such as departure time prediction within the integrated AMAN/DMAN/SMAN system, which manages aircraft arrival, departure, and surface movements. Additionally, we aim to develop efficient methods for implementing digital technologies into airport systems.