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Prediction Of Severity Of Aviation Landing Accidents Using Support Vector Machine Models, Dezsö V. Silagyi
Prediction Of Severity Of Aviation Landing Accidents Using Support Vector Machine Models, Dezsö V. Silagyi
Doctoral Dissertations and Master's Theses
The purpose of this study was to apply support vector machine (SVM) models to predict the severity of aircraft damage and the severity of personal injury during an aircraft approach and landing accident and to evaluate and rank the importance of 14 accident factors to the severity. Three new factors were introduced using the theory of inattentional blindness: The presence of visual area surface penetrations for a runway, the Federal Aviation Administration’s (FAA) visual area surface penetration policy timeframe, and the type of runway approach lighting.
The study comprised 1,297 aircraft approach and landing accidents at airports within the United …