Aircraft post-upset flight risk region prediction for aviation safety management

Hamza, M. H.; Polichshuk, Ruslan; Lee, Hyunseong; Parker, Paul; Campbell, Angela; Chattopadhyay, Aditi

doi:10.1016/j.aei.2022.101804

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…This makes it possible to minimize the negative impact of human errors and violations in situational safety management. In contrast to the results of works that consider the development of a toolkit of reactive, proactive, and predictive methods of aviation safety management [8][9][10], it is proposed to use the approaches of compiling reactive, proactive, and predictive methods of aviation safety management, which will make it possible to quickly minimize the influence of dynamic negative factors.…”

Section: Discussion Of Research Results Of Theoretical Aspects Of Sit...mentioning

confidence: 99%

“…The effectiveness of the hybrid model in quantifying the risk associated with the consequences of hazardous events has been demonstrated. In [10], a predictive flight path model was developed, which is a vital tool for improving the safety management of the national airspace system. The prediction model is implemented as a high-precision flight dynamics simulator to simulate the response of the aircraft after a crash.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

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Determining possibilities for applying theoretical principles of situational risk management in the aviation safety system

Bugayko,

Ponomarenko,

Sokolova

et al. 2023

EEJET

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Aviation safety is one of the main criteria for its sustainable development. The object of this study is safety risk management, which is the main tool of the aviation safety management system. The problem that needs to be further solved is the improvement of aviation risk management methods under war, force majeure, and crisis conditions, as well as under conditions of uncertainty, when there is a minimum of time to make a single correct decision. The theory of situational management can be chosen as the theoretical basis for creating decision-making systems. The development of special languages for describing the situation arising at the control object, as well as in its control system, makes it possible to correctly represent the models of control objects and the evolution of knowledge about them. The work solves the task of building a model of the control object, which takes into account the maximum number of its features suitable for implementation. In order to represent the management object based on the method of expert assessments, the weighting coefficients of the risk characteristics’ probabilities and the values of the weighting coefficients of the degrees of severity were calculated, a matrix of risk assessment indicators was built, and risk assessment criteria were developed. Based on the calculations, general approaches to aviation safety risk management were specified. The paper developed a «dramatic script» of an episode of aviation security risk management, which includes the stages of the episode, the content of necessary actions, the corresponding stages of aviation security risk management and the corresponding aviation security risk management. The content of the management itself consists in preventing the transition from the zone of acceptable risk to the zone of permissible and from the zone of permissible risk to the zone of unacceptable risk, as well as the implementation of measures to stimulate the transition from the zone of unacceptable to the zone of permissible risk and from the zone of permissible to the zone of acceptable risk

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Section: Discussion Of Research Results Of Theoretical Aspects Of Sit...mentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Determining possibilities for applying theoretical principles of situational risk management in the aviation safety system

Bugayko,

Ponomarenko,

Sokolova

et al. 2023

EEJET

View full text Add to dashboard Cite

show abstract

Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis

Demir,

Moslem,

Duleba

2024

Int J Comput Intell Syst

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Human risk recognition and prediction in manned submersible diving tasks driven by deep learning models

Qiao,

Li,

Chen

et al. 2024

Advanced Engineering Informatics

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Aircraft post-upset flight risk region prediction for aviation safety management

Cited by 4 publications

References 33 publications

Determining possibilities for applying theoretical principles of situational risk management in the aviation safety system

Determining possibilities for applying theoretical principles of situational risk management in the aviation safety system

Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis

Human risk recognition and prediction in manned submersible diving tasks driven by deep learning models

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