In order to figure out the human factors impact of flight crew members in incident deduction, a human factors analysis model of flight crew members based on a Bayesian network is established. After comparing CH scoring function and BIC scoring function, and comparing the K2 search algorithm and the hill-climbing search algorithm for model optimization, the Bayesian network analysis model is established by using 10 years of flight crew members' error data in China civil aviation incidents. The Bayesian network analysis model shows the probability distribution of flight crew members' errors in civil aviation incidents analysis, which is useful for analyzing and reducing flight crew members' errors.
Human Factors Analysis Model of Flight Crew Members Based on Bayesian Network in China Civil Aviation Incidents
The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China
CICTP 2012 ; 2738-2743
2012-07-23
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Pavement management , Transportation management , Traffic accidents , Freight transportation , China , Logistics , Air traffic , Traffic models , Water transportation , Traffic safety , Rail transportation , Air transportation , Bayesian analysis , Human factors , Information management , Traffic management
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