Integrated Modeling of Fatigue Impacts on C-17 Approach and Landing Performance-Reference-Cited by-同舟云学术

Integrated Modeling of Fatigue Impacts on C-17 Approach and Landing Performance

Published:2022-12-12 Issue:1 Volume:33 Page:61-78
ISSN:2472-1840
Container-title:The International Journal of Aerospace Psychology
language:en
Short-container-title:The International Journal of Aerospace Psychology

Author:

Veksler Bella Z.¹²,Morris Megan B.²,Krusmark Michael A.²³,Gunzelmann Glenn²

Affiliation:

1. TiER1 Performance Solutions, Covington, Kentucky, USA

2. Air Force Research Laboratory, Airmen Systems Directorate, Wright-Patterson AFB, Ohio, USA

3. CAE USA, Wright-Patterson AFB, Ohio, USA

Funder

Defense Health Agency’s Joint Program Committee on Military Operational Medicine

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/24721840.2022.2149526

Reference32 articles.

1. Amaddio, K. M., & Howland, J. P. (2017). Fatiguing the force: Using operational data to improve the United States Air Force’s mission effectiveness model. 19th International Symposium on Aviation Psychology, Dayton, Ohio, USA. (pp. 154–159). https://corescholar.libraries.wright.edu/isap_2017/95/

2. Ambulatory Monitoring Inc. (2013). User’s guide: Micro Motionlogger® watch and watchware software (Version 1.94.0.0 and higher).

3. Prediction of Pilot's Reaction Time Based on EEG Signals

4. Micro Saint Sharp simulation software

5. Fatigue in aviation

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