Auxílio da inteligência artificial no controle e gestão do tráfego aéreo

Abstract

This research focuses on the use of AI algorithms for air traffic control and optimization, with special attention to operational safety. The rapidly growing artificial computer science has extended its arms to several sectors with robotic operations, where aviation is no exception, and has attempted to automate numerous operations by decreasing the human cognitive load on traffic controllers. For example, AI has enabled “digital cockpits” or “glass cockpits” in large aircraft that provide integrated real-time data and, therefore, better situational awareness for pilots. This research aims to discuss the ramifications of this technology in Brazilian air traffic, aiming to fulfill a growing imperative of providing safer and more sustainable aviation operations. As a way to achieve this investigation, a descriptive and qualitative methodology based on documentary and bibliographic research will be carried out. From the reviewed material, it can be concluded that DECEA has implemented AI systems such as SIRIUS in Brazil to optimize the use of airspace, decreasing aircraft waiting times and making the industry more sustainable. The study also emphasizes the need for XAI (Explainable AI) so that people controlling machines can understand and have faith in the choices proposed by the technology. It states that AI not only has the potential to transform Brazil’s aviation sectors, but is also a crucial tool for operational safety. Therefore, more investment are recommended in AI technologies and in the development of professionals capable of dealing with this innovation.