To improve the prediction accuracy of ship trajectory, the Transformer model is applied to predict ship trajectory. The pre-processed AIS data are used for the training and testing of Transformer model, and the AIS data from port area of Ningbo Zhoushan are used for validation. The results prove that the Transformer model is suitable for ship trajectory prediction, and the mean absolute error and mean square error of the Transformer model prediction results are smaller than those of other prediction models. The prediction results show that it is feasible to use Transformer model for ship trajectory prediction, and it also provides a kind of data preparation for collision avoidance warning for ships.


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    Titel :

    Ship trajectory prediction model based on transformer


    Beteiligte:
    Li, Na (Autor:in) / Huang, Yaoliang (Autor:in) / Jiang, Dapeng (Autor:in)

    Kongress:

    Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023) ; 2023 ; Xishuangbanna,China


    Erschienen in:

    Proc. SPIE ; 12642


    Erscheinungsdatum :

    02.05.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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