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A High-Precision Fatigue Detecting Method for Air Traffic Controllers Based on Revised Fractal Dimension Feature
Joint Authors
Shen, Zhiyuan
Pan, Guozhuang
Yan, Yonggang
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-12
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
As air traffic volume increases, the air traffic controller (ATC) fatigue has become a major cause for air traffic accidents.
However, the conventional fatigue-detecting methods based on speech are neither effective nor accurate because the speech signals are nonlinear and complicated.
In this paper, an ATC fatigue-detecting method based on fractal dimension (FD) is proposed.
Firstly, a special speech database of ATC radiotelephony communications is constructed.
These radiotelephony communications are obtained from Air Traffic Management Shandong Bureau of China.
Then, speech signals implement a wavelet decomposition and FD calculation.
The calculation result shows the significant difference among the FD of the speech signal before and after fatigue.
Furthermore, a novel fatigue feature of the ATC based on the FD of speech is built.
A series of experiments are conducted to detect the ATC fatigue with the fatigue feature comparison process and a support vector machine (SVM).
The results show that the accuracy in detecting ATC fatigue based on FD was 92.82%, which are higher than the state-of-the art methods.
The research provides a theoretical guidance for Air Traffic Management Authority on detecting ATC’s fatigue, while it may provide reference for the fatigue assessment in other professional fields of civil aviation.
American Psychological Association (APA)
Shen, Zhiyuan& Pan, Guozhuang& Yan, Yonggang. 2020. A High-Precision Fatigue Detecting Method for Air Traffic Controllers Based on Revised Fractal Dimension Feature. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1195241
Modern Language Association (MLA)
Shen, Zhiyuan…[et al.]. A High-Precision Fatigue Detecting Method for Air Traffic Controllers Based on Revised Fractal Dimension Feature. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1195241
American Medical Association (AMA)
Shen, Zhiyuan& Pan, Guozhuang& Yan, Yonggang. A High-Precision Fatigue Detecting Method for Air Traffic Controllers Based on Revised Fractal Dimension Feature. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1195241
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195241