Every day, a large number of containers pass through the Port of Koper,
where they are dispatched via various modes of transportation, such as trains,
trucks, or ships. Since the exact mode of transportation for each container
is unknown upon the ship’s arrival, I developed a predictive model that
forecasts how containers will be transported out of the port. This prediction
is crucial as it allows for the optimal allocation of containers upon their
arrival at the port, thereby increasing the efficiency of access to subsequent
transportation by train or truck. Consequently, this reduces the number
of unnecessary container movements during storage and shortens the time
required to deliver the container’s contents to the final customer. The goal
of the thesis was to develop a model with at least 70% accuracy, which we
successfully exceeded, achieving an accuracy of approximately 80%.
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