Multiple machine learning modeling on near mid-air collisions: An approach towards probabilistic reasoning

BZ Haselein, JC da Silva, BL Hooey - Reliability Engineering & System …, 2024 - Elsevier
This work presents a mathematical model to predict and explain Near Mid-Air Collisions
(NMACs) based on the NASA Aviation Safety Reporting System (ASRS) database. The …

Predictive safety analytics: inferring aviation accident shaping factors and causation

E Ancel, AT Shih, SM Jones, MS Reveley… - Journal of Risk …, 2015 - Taylor & Francis
This paper illustrates the development of an object-oriented Bayesian network (OOBN) to
integrate the safety risks contributing to an in-flight loss-of-control aviation accident. With the …

Development of predictive safety management methodology in aviation

D Bartulović - 2022 - repozitorij.unizg.hr
Sažetak The implementation and maintaining of effective safety management system (SMS)
is regulated on global, regional, and national level. SMS is regulatory obligation for every …

[PDF][PDF] Significance of Aviation Safety, Its Evaluation, and Ways to Strengthen Security

MH MoghimiEsfandabadi, MH Djavareshkian… - International Journal of …, 2023 - sid.ir
Numerous studies have demonstrated that human factors are the primary cause of deadly
air incidents and accidents involving passenger flights. Human error is defined as mistakes …

[PDF][PDF] Investigation into the causes and potential mitigation of the high incidence of farmers' suicide

VR Bokinala - 2022 - openresearch.surrey.ac.uk
Summary The “Green Revolution” has been widely cited as a key enabler in the ability to
feed the still growing global population. However, it is not without its problems. These can be …

Bayesian networks for decision-making and causal analysis under uncertainty in aviation

RMA Valdés, VFG Comendador, AR Sanz… - … Advances and Novel …, 2019 - books.google.com
Most decisions in aviation regarding systems and operation are currently taken under
uncertainty, relaying in limited measurable information, and with little assistance of formal …

Bayesian Safety Risk Modeling of Human-flightdeck Automation Interaction

E Ancel, AT Shih - 2015 - ntrs.nasa.gov
Usage of automatic systems in airliners has increased fuel efficiency, added extra
capabilities, enhanced safety and reliability, as well as provide improved passenger comfort …

Modeling increased complexity and the reliance on automation: FLightdeck Automation Problems (FLAP) model

E Ancel, AT Shih - International System Safety Conference, 2014 - ntrs.nasa.gov
This paper highlights the development of a model that is focused on the safety issue of
increasing complexity and reliance on automation systems in transport category aircraft …

Development of A Bayesian Belief Network Runway Incursion and Excursion Model

LL Green - American Society for Engineering Management, 2014 …, 2014 - ntrs.nasa.gov
In a previous work, a statistical analysis of runway incursion (RI) event data was conducted
to ascertain the relevance of this data to the top ten Technical Challenges (TC) of the …

Identification of crew-systems interactions and decision related trends

SM Jones, JK Evans, MS Reveley, CA Withrow… - 2013 - rosap.ntl.bts.gov
National Aeronautics and Space Administration (NASA) Vehicle System Safety Technology
(VSST) project management uses systems analysis to identify key issues and maintain a …