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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    Titel :

    Artificial Intelligence Based Strategy for Vessel Decision Support System


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Rocha, Álvaro (Herausgeber:in) / Adeli, Hojjat (Herausgeber:in) / Dzemyda, Gintautas (Herausgeber:in) / Moreira, Fernando (Herausgeber:in) / Ramalho Correia, Ana Maria (Herausgeber:in) / Daranda, Andrius (Autor:in) / Dzemyda, Gintautas (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    23.04.2021


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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