Aircraft Accident Prediction Using Machine Learning Classification Algorithms

Air traffic and transportation is the safest form of traffic despite the fact that every year in the world there are a significant number of air traffic accidents and incidents. Safety management and Risk management have always been extremely important factors in aviation. Safety improvement is poss...

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Veröffentlicht in:2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) S. 185 - 190
Hauptverfasser: Kacar, Rade, Culibrk, Darko, Cokorilo, Olja, Mirosavljevic, Petar
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 08.11.2023
Schlagworte:
Aircraft Accident
Artificial Neural Networks
Classification algorithms
LightGBM
Machine learning
Machine Learning Classification Algorithms
Multilayer Perceptron
Prediction
Prediction algorithms
Predictive models
Risk management
Safety management
Transportation
XGBoost
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Zusammenfassung:Air traffic and transportation is the safest form of traffic despite the fact that every year in the world there are a significant number of air traffic accidents and incidents. Safety management and Risk management have always been extremely important factors in aviation. Safety improvement is possible through the constant detection and control of hazards as well as causes of accidents and incidents and hard work on their mitigation, removal, or reduction of their consequences. The aim of this paper is to present the application of machine learning classification in air crash severity prediction.
DOI:10.1109/SUMMA60232.2023.10349514