Nowadays, it is vital to ensure safe vessel navigation. As in the old days, this responsibility lies on the marine navigator. The main issue to provide safety is to plan and predict the vessel maneuvering in the massive congestion. The enormous permanent stream of marine traffic data is tricky to process for vessel navigator. 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.


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    Title :

    Artificial Intelligence Based Strategy for Vessel Decision Support System


    Additional title:

    Advs in Intelligent Syst., Computing



    Conference:

    World Conference on Information Systems and Technologies ; 2021 ; Terceira Island, Portugal March 30, 2021 - April 02, 2021



    Publication date :

    2021-04-23


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English