Research on Factors Influencing Aviation Safety: Data Analysis and Key Findings
Abstract
it unveils the pivotal factors that shape flight safety outcomes. By harnessing the power of cutting-edge techniques such as XGBoost, Random
Forest, and Forward Selection, the study meticulously processes and dissects flight safety data, thereby furnishing invaluable insights essential
for fortifying aviation safety protocols. The implications of these findings are poised to offer substantial support and strategic guidance for
safety management frameworks and pilot training initiatives within the aviation industry, thereby fostering a safer and more secure aviation
environment for all stakeholders involved.
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[1] Chen, Lejun, et al. "Flight evaluation of a sliding mode online control allocation scheme for fault tolerant control." Automatica 114 (2020): 108829.
[2] Jung, Ki-Wook, Young-Won Kim, and Chang-Hun Lee. "Aerodynamically controlled missile flight datasets and its applications." International Journal of Aeronautical and Space Sciences 24.1 (2023): 248-260.
[3] Wen, Jiayu, et al. "Hybrid Adaptive Control for Tiltrotor Aircraft Flight Control Law Reconfiguration." Aerospace 10.12 (2023): 1001.
[4] Deng Yang. Research on the group path of influencing factors of general aviation safety accidents[D]. Zhengzhou Institute of Aviation
Industry Management, 2024.
[5] Yao Di, Yi Rong, Xiao Yizhuo. Analysis of factors affecting general aviation flight safety[J]. Science and Innovation, 2021(09):23-25.
[6] Yue Qiming, Zhang Quanqing, Zhang Yanwen, et al. Research on the analysis and measurement of factors affecting pilot situational
awareness[C]// Aviation Society of China. Proceedings of the Ninth Aviation Society of China Youth Science and Technology Forum.
DOI: http://dx.doi.org/10.18686/aitr.v2i3.4413
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