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Aviation Management and Human Factor: Evaluation of Unmanned Aerial Vehicle Accidents

Hanifi SEVER1

Section:Research Paper, Product Type: Journal-Paper
Vol.7 , Issue.3 , pp.30-37, Mar-2021


Online published on Mar 31, 2021


Copyright © Hanifi SEVER . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: Hanifi SEVER, “Aviation Management and Human Factor: Evaluation of Unmanned Aerial Vehicle Accidents,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.7, Issue.3, pp.30-37, 2021.

MLA Style Citation: Hanifi SEVER "Aviation Management and Human Factor: Evaluation of Unmanned Aerial Vehicle Accidents." International Journal of Scientific Research in Multidisciplinary Studies 7.3 (2021): 30-37.

APA Style Citation: Hanifi SEVER, (2021). Aviation Management and Human Factor: Evaluation of Unmanned Aerial Vehicle Accidents. International Journal of Scientific Research in Multidisciplinary Studies , 7(3), 30-37.

BibTex Style Citation:
@article{SEVER_2021,
author = {Hanifi SEVER},
title = {Aviation Management and Human Factor: Evaluation of Unmanned Aerial Vehicle Accidents},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {3 2021},
volume = {7},
Issue = {3},
month = {3},
year = {2021},
issn = {2347-2693},
pages = {30-37},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=2315},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=2315
TI - Aviation Management and Human Factor: Evaluation of Unmanned Aerial Vehicle Accidents
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - Hanifi SEVER
PY - 2021
DA - 2021/03/31
PB - IJCSE, Indore, INDIA
SP - 30-37
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract :
Throughout the history of aviation, thousands of people died as a result of aircraft accidents. Autopilot systems in manned aircraft have been developed to reduce such accidents, which are often attributed to pilot faults. In addition, it is aimed to minimize accidents with the unmanned aerial vehicle (UAV) and autopilot software. As a result of the open source literature review conducted in this study, 72 UAV accidents belonging to the US army were examined between 2009 and 2018. According to findings in this study, 33 (45.8%) of the accidents were found to result in accident crushing caused by human factor (pilot or technical team). Therefore, although the risk of accident due to the human factor is expected to follow a decreasing course in connection with the corrected autopilot updates, it can be said that the risk of accident still continues at a high rate. For this reason, it may be beneficial for the UAV flight crew to update selection criteria depending on different events and situations, and to frequently test the training, simulation and applicable scenarios.

Key-Words / Index Term :
Aviation Management, Unmanned Aerial Vehicle, Human Factor, Accident

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