Aircraft Accident Prediction Using Machine Learning Classification Algorithms

EasyChair Preprint 10474

Abstract

Air traffic and transportation is the safest form of traffic despite the fact that every year in the world a significant number of air traffic accidents and incidents happen. Safety management and Risk management always have 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.

Keyphrases: Aircraft Accident Prediction, Artificial NN, Classification, LightGBM, ML, XGBoost

@booklet{EasyChair:10474,
  author    = {Rade Kačar and Darko Ćulibrk and Olja Čokorilo and Petar Mirosavljević},
  title     = {Aircraft Accident Prediction Using Machine Learning Classification Algorithms},
  howpublished = {EasyChair Preprint 10474},
  year      = {EasyChair, 2023}}