A Review on Fatigue Detection and Management for Air Traffic Controllers

Abstract

The civil aviation development of China relies on both the independent research of large transport aircraft and efficient air traffic management system. As the core part of ATC(air traffic control),the fatigue detection and management of ATCs(air traffic controllers)is an important factor affecting aviation safety. In this paper,firstly the recent research progresses on fatigue detection of ATCs are summarized detailly from the aspects of traditional subjective and objective evaluation,their advantages and disadvantages are analyzed in addition. Then,the extracting algorithms of ATCs fatigue feature based on speech analysis are described emphatically. Especially,with the prosperous development of artificial intelligence in recent years,the detection algorithm based on deep learning model is proposed to recognize speech fatigue better. Finally,the application prospect of fatigue detection on ATC safety and promoted efficiency is briefly described. The review can provide further research help for scholars engaged in controller fatigue detection and management.

Keywords

• air traffic management
• controllers
• fatigue detection
• speech analysis
• feature extraction
• deep learning