O uso da inteligência artificial aplicada na aviação geral

Abstract

Until recently, aircraft and air traffic control management heavily relied on human work and experience due to the intricate considerations of different weather conditions and traffic dynamics where human input is crucial. Increasingly, companies and airports worldwide are recognizing that Artificial Intelligence (AI) in aviation offers significant benefits. Tasks such as flight planning, flow management, and safety assessments can be, to some extent, automated. Thus, the research aims to answer: What are the advantages and applications of AI in aeronautics? This study aimed to analyze the use of AI in general aviation, employing a bibliographic research methodology from various sources, with a qualitative approach and exploratory purposes. To support the studies, the research draws on bibliographic sources, including studies published in aeronautics journals, ANAC documents, and international organizations. The results indicate that AI in aviation is a broad subject, as this technology can easily support air transportation, travel, and airline operations both in the skies and on the ground. Machine learning and predictive algorithms enable aircraft manufacturers to predict potential failures before they occur, significantly contributing to time and cost savings. Additionally, AI-powered Air Traffic Management (ATM) provides greater predictability and efficiency, allowing the calculation of optimal routes that help airlines, transportation companies, and executive aviation to save time and fuel.