Факультет аеронавігації, електроніки та телекомунікацій (ФАЕТ)

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    An Intelligent technology for predicting aircraft trajectories at the airfield
    (National Aviation University, 2024-06-13) Baherian, Serhii Viktorovych; Багерян, Сергій Вікторович
    In the course of the work, the work algorithms of the most famous methods were analyzed. Also, popular software systems were considered and it was established that each of the above-mentioned lost products has advantages and certain disadvantages, which were taken into account when creating a comprehensive approach and improving the algorithm for improving the system. The practical value of the results of the work covers a wide range of applications in the field of aviation, which contributes to the improvement of safety, efficiency and innovation in this field and consists in the study of the best algorithms for predicting the trajectories of airplanes on airfields based on transformative neural networks. The results of the study can serve as a basis for the development of decision support systems for controllers and operators at airports, which will help them solve complex situations and optimize work processes. The results of the research can be used for the development of autonomous air traffic control systems at airports, which has the potential to reduce the burden on the human factor and increase the efficiency of operations. The obtained models and methods can be used in research and training in the field of aviation technology and engineering in preventing accidents and reducing the risk of collisions at airfields.