A5093703108- Occupational Health and Safety Research
- Traffic and Road Safety
- Risk and Safety Analysis
- Air Traffic Management and Optimization
- Human-Automation Interaction and Safety
University of Lisbon
2024-2025
Agostinho Neto University
2025
In the area of aviation safety, importance human factors is indisputable. This research endeavors to assess in predicting fatalities during mishaps. Utilizing reports from Aviation Safety Network Database, encompassing 1105 accidents and incidents spanning 2007 2016, neural networks were trained forecast probability fatalities. Our findings underscore that involved, by themselves, can yield strong predictions. As a term comparison, other variables (type occurrence, flight phase, aircraft...
The use of machine learning techniques to identify contributing factors in air incidents has grown significantly, helping and prevent accidents improve safety. In this paper, classifier models such as LS, KNN, Random Forest, Extra Trees, XGBoost, which have proven effective classification tasks, are used analyze incident reports parsed with natural language processing (NLP) techniques, uncover hidden patterns future incidents. Metrics precision, recall, F1-score accuracy assess the degree...