Implementation of Artificial Intelligence on Air Traffic Control - A Systematic Literature Review

Humans can now do jobs more efficiently, and many problems can be solved with the assistance of Artificial Intelligence (AI). AI also plays an important role in air traffic control because it can help improve the safety and efficiency of air travel. AI can be used for various tasks, such as predicting weather patterns, identifying potential conflicts, and recommending optimal routes. Machine learning can also be applied in air traffic control to help systems learn from data and improve performance. This research aims to show the role of artificial intelligence (AI) in the Air Traffic Control (ATC) system and explore ways to implement AI to improve the system's performance. This study reviewed literature by looking at relevant articles and journals to achieve the result. This research reviews previous literature based on keywords Such as Implementation, Air Traffic Control, and Machine learning. Based on the literature review results, the various aspects of air traffic control and management are increasingly dependent on AI and machine learning. This study found that 7 aspects of ACT have adopted AI and have the potential to continue to develop their use.