Vessel Trajectory Prediction using Sequence-to-Sequence Models over Spatial Grid

In this paper, we propose a neural network based system to predict vessels' trajectories including the destination port and estimated arrival time. The system is designed to address DEBS Grand Challenge 2018, which provides a set of data streams containing vessel information and coordinates ordered by time. Our goal is to design a system which can accurately predict future trajectories, destination port and arrival time for a vessel.