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Artificial Intelligence Based Strategy For Vessel Decision Support System
Nowadays, it is vital to ensure safe vessel navigation. As in the old days, this re-sponsibility lies on the marine navigator. The main issue to provide safety is to plan and predict the vessel maneuvering in the massive congestion. The enor-mous permanent stream of marine traffic data is tricky to process for vessel navi-gator. Thus, the main reason for the collision is human errors. So the autonomous navigation is the key to reduced major errors. However, the enormous size of the navigation data gathering from marine traffic causes a problem to create a vessel decision support system. We introduced the novel method of the decision support system to navigate safely in the high-density maritime traffic. The suggested method is based on Deep Reinforcement Learning. This technique could deal with the end-to-end approach for vessel navigation in marine traffic with considerable vessel congestions.