6 citations · 8 across the 4 of their papers we have counts for
4 papers
Automating the resolution of flight conflicts: Deep reinforcement learning in service of air traffic controllers
George Vouros, George Papadopoulos, Alevizos Bastas +2
Dense and complex air traffic scenarios require higher levels of automation than those exhibited by tactical conflict detection and resolution (CD\&R) tools that air traffic contro…
Data-driven prediction of Air Traffic Controllers reactions to resolving conflicts
Alevizos Bastas, George A. Vouros
With the aim to enhance automation in conflict detection and resolution (CD&R) tasks in the Air Traffic Management domain, in this paper we propose deep learning techniques (DL) th…
Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning
Alevizos Bastas, Theocharis Kravaris, George A. Vouros
The current Air Traffic Management (ATM) system worldwide has reached its limits in terms of predictability, efficiency and cost effectiveness. Different initiatives worldwide prop…
Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods
Theocharis Kravaris, Christos Spatharis, Alevizos Bastas +5
In this article, we report on the efficiency and effectiveness of multiagent reinforcement learning methods (MARL) for the computation of flight delays to resolve congestion proble…