Software Solution for Monitoring the Level of Fatigue of Air Traffic Controllers

The work developed a software solution for monitoring the level of fatigue of air traffic controllers using expert opinion. For constructing a software solution, a nine-step algorithm for hybrid assessment of the air traffic controllers’ fatigue level was developed for the first time. For the first time, a software solution for monitoring air traffic controllers' fatigue levels was constructed using the TypeScript programming language and the React library. At the output, a generalized quantitative assessment and linguistic complex level of fatigue of air traffic controllers is obtained. If significant fatigue is detected, the software solution automatically notifies the decision-making person (DM), allowing timely action, such as suspending the dispatcher from work and replacing him. Algorithmic support and software were tested and configured based on accurate data, where the participants of the experiments were students of the Aviation Faculty of the Technical University in Košice. The study uses modern methods such as fuzzy set theory, expert evaluation, intelligent data analysis, and pattern recognition, which improves the accuracy of determining air traffic controllers' fatigue level. The advantage of the development lies in the combination of technical data from video surveillance and expert assessments. With the ability to adjust the settings levels, the software is suitable for both civil and military aviation, making it versatile in application.