Aviation specialist fatigue assessment by the random forest method
DOI 10.51955/2312-1327_2024_3_Β
Abstract. The article examines the fatigue of flight personnel and members of the air traffic control service as a risk factor affecting flight safety. The proposed software solution based on the random forest method makes it possible to identify the state of fatigue in an aviation specialist after passing a series of tests evaluating a decrease in performance based on existing symptomatic attributes. The introduction of the presented solution into flight safety management systems at aviation enterprises will improve the corresponding reliability indicators of both pilots and air traffic controllers.
Key words: fatigue, assessment, statistics, machine learning, binary classification, random forest, automation, program.
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