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2 May 2023 Ship trajectory prediction model based on transformer
Na Li, Yaoliang Huang, Dapeng Jiang
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Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264211 (2023) https://doi.org/10.1117/12.2674928
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China
Abstract
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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Na Li, Yaoliang Huang, and Dapeng Jiang "Ship trajectory prediction model based on transformer", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264211 (2 May 2023); https://doi.org/10.1117/12.2674928
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KEYWORDS
Transformers
Artificial intelligence
Data modeling
Neural networks
Data processing
Safety
Deep learning
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