Abstract
Objective. To establish a rapid objective method for detection fatigue of air traffic controllers (ATCs) to meet fatigue management requirements. Methods—A fatigue detection method established by combining a modified psychomotor vigilance test scene with the test of the percentage of eyelid closure over the pupil over time (PERCLOS). The subjects’ PERCLOS value, reaction time and error rate during detection were simultaneously obtained and integrated into the fatigue value. The detection time was compressed to 5 min and the result obtained just completed detection. The established method was applied to a field test at one area control unit in China. 19 ATC volunteers were recruited and divided into two groups as a test group before duty and a fatigue control group after duty. The detection results indicated that the method was valid to detect out ATCs’ fatigue from work and was suitable to control work environment. Conclusions—The rapid method of fatigue detection for air traffic controllers before duty was successfully developed, which would serve as an effective tool for air traffic controller fatigue management.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Civil Aviation Administration of China: Air Traffic Control Rules of China (CCAR-93-R5) (2017)
Nealley, M., Gawron, V.: The effect of fatigue on air traffic controllers. Int. J. Aviat. Psychol. 25, 14–47 (2015)
Chen, Z., Zhang, J., Zou, G., et al.: Interaction effect of workload and circadian rhythm in air traffic controllers’ fatigue. In: Proceedings of 20th International Conference on Man-machine-Environment System Engineering, pp. 235–241. IEEE (2020)
Chen, Z., Zhang, J., Ding, P., et al.: A scale to assess fatigue, concomitant mood and perception of air traffic controllers: a field study. In: Proceedings of 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology, pp. 874–877. IEEE (2020)
Chen, Z., Xu, X., Zhang, J., et al.: Application of LC-MS-based global metabolomic profiling methods to human mental fatigue. Anal. Chem. 88, 11293–11296 (2016)
Chen, Z., Zhang, J., Ding, P.: Fatigue detection of air traffic controllers using metabolomics methods. In: Proceedings of 1st International Conference on Civil Aviation Safety and Information Technology, pp. 471–474. IEEE (2019)
Gu, Y., Chen, Z., Zhang, J., et al.: A PERCLOS method for fine characterization of behaviour circadian rhythm. In: Proceedings of 20th International Conference on Man-Machine-Environment System Engineering, pp. 243–249. IEEE (2020)
Dinges, D., Grace, R.: PERCLOS: a valid psychophysiological measure of alertness as assessed by psychomotor vigilance. Technical report. No FHWA-MCRT-98–006 (1998)
Ratcliff, R., Van Dongen, H.: Diffusion model for one-choice reaction-time tasks and the cognitive effects of sleep deprivation. Proc. Natl. Acad. Sci. 108, 11285–11290 (2011)
Wang, L., Sun, R.: A remote and real-time fatigue measurement solution based on eye tracking technique. Inf. Tech. 12, 6050–6055 (2013)
Zhang, J., Duan, L., Guo, J., et al.: A general algorithm-based BP neural network method for operational performance assessment of ATC sector. Promet. Traf. Transp. 28, 563–574 (2016)
Acknowledgements
We would like to thank all air traffic controllers who participated in this study. This study was supported by the National Natural Science Foundation of China (No. 52072406 and No. 22074157), Safety Foundation of Civil Aviation Administration of China (No. [2020]116), and Chengdu Science and Technology Project (2020-XT00-00001-GX).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
The study was approved by the Logistics Department for the Civilian Ethics Committee of the Second Institute of Civil Aviation Administration of China. All subjects who participated in the experiment were provided with and signed an informed consent form. All relevant ethical safeguards have been met with regard to subject protection.
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chen, Z., Zhang, J., Zhou, X., Ding, P., Gu, Y., Wang, B. (2022). A Rapid Objective Method of Fatigue Detection for Air Traffic Controller Before Duty. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering: Proceedings of the 21st International Conference on MMESE. MMESE 2021. Lecture Notes in Electrical Engineering, vol 800. Springer, Singapore. https://doi.org/10.1007/978-981-16-5963-8_17
Download citation
DOI: https://doi.org/10.1007/978-981-16-5963-8_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5962-1
Online ISBN: 978-981-16-5963-8
eBook Packages: EngineeringEngineering (R0)