Abstract:

In this study, maritime trade routes and maritime transportation, which constitute the most important building block of world trade, have been the biggest problem for years; It is aimed to examine the main causes of maritime accident/incidents that have caused death, injury and all kinds of losses by shedding light on. In this context, by classifying the said maritime accidents/incidents, it will be investigated which types of maritime accidents may occur due to which reasons. In the study, it is aimed to predict the probabilities of sea accidents that may occur in the future with the help of a data set consisting of information on previous years' maritime accidents, with the help of a model trained with machine learning methods. The machine learning model in question will be developed through the ptyhon software language, based on various Supervised Machine Learning algorithms and Artificial Neural Networks (ANN). The main aim to be achieved in this study is to develop a system that can predict maritime accidents and to raise awareness about preventing these accidents or taking precautions before these painful experiences occur.