AI Solutions for Enhancing Flight Safety in Brunei

Abstract

This paper explores the implementation of Artificial Intelligence (AI) solutions to enhance flight safety in Brunei's aviation sector. With the increasing complexity of air travel and the need for improved safety measures, AI technologies offer innovative approaches to mitigate risks and improve operational efficiency. Key applications of AI in this context include predictive maintenance, which utilizes data from aircraft sensors to forecast potential failures before they occur, thereby reducing unscheduled maintenance and enhancing aircraft reliability. Additionally, AI-driven predictive analytics can improve weather forecasting accuracy, aiding pilots and airlines in making informed decisions to avoid weather-related incidents. Furthermore, AI plays a crucial role in air traffic management by optimizing flight routes and schedules, predicting traffic patterns, and supporting decision-making processes for air traffic controllers. The integration of these AI solutions not only aims to bolster safety standards but also to foster a culture of proactive risk management within the aviation industry in Brunei.