In the context of world economic globalization, with the rapid growth of maritime traffic, the shipping industry has undergone tremendous changes, and more and more ship trajectories have appeared in various maritime activities. This increases the load on the waterway and congests the channel. Such a complex maritime environment is a severe test for China's maritime management. The main purpose of this study is to develop an automatic prediction system for ship motion based on artificial intelligence technology, which can monitor the position, course, speed and other information of the ship in real time, and predict the future trajectory of the ship through the analysis of historical data, and provide real-time decision-making support for port management, route planning, navigation safety and other aspects. At the same time, this study also aims to explore and improve the automatic prediction algorithm of ship motion situation, improve the prediction accuracy, and enhance the stability and practicality of the system. Through research, we hope to solve some practical problems in ship management while promoting the application and development of artificial intelligence technology in the maritime field.


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    Titel :

    Research on automatic prediction system of ship motion situation based on artificial intelligence technology


    Beteiligte:
    Ghanizadeh, Ali Reza (Herausgeber:in) / Jia, Hongfei (Herausgeber:in) / Yi, Chengtao (Autor:in) / Xiong, Junting (Autor:in) / Jin, Xin (Autor:in) / Zhang, Yong (Autor:in) / Li, Wei (Autor:in)

    Kongress:

    Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023) ; 2023 ; Dalian, China


    Erschienen in:

    Proc. SPIE ; 13064


    Erscheinungsdatum :

    2024-02-20





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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