ArticleiScience2023
A TDV attention-based BiGRU network for AIS-based vessel trajectory prediction.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 36 citations in OpenAlex.
- Review
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- Red Sea crisis impacts on maritime shipping networks.Heliyon · 2024Article
- A method for compressing AIS trajectory based on the adaptive core threshold difference Douglas-Peucker algorithm.Scientific reports · 2024Article
- Article
- End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism.Frontiers in computational neuroscience · 2024Article
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Authors and funding
5 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Automatic identification system (AIS) is a vessel-based system for the automatic broadcast and reception of vessel information, and it also supports data for trajectory prediction. Since the vessel's sailing route is flexible and changeable and the AIS broadcast is unconfirmed, the trajectory varies greatly and the original AIS data contains some noisy trajectory, which leads to low prediction accuracy and stability. Therefore, to solve the above problem, this paper proposes a trajectory prediction method based on bidirectional gate recurrent unit (BiGRU) and trajectory direction vector (TDV) with attention mechanism. This paper firstly proposes a TDV to associate latitude and longitude with the course and speed. Then the paper proposes an attention mechanism to self-adaptively update weight to the TDV in different stages to eliminate unreasonable predicted trajectory points. Finally, this paper combines the TDV attention mechanism and the BiGRU network to train a vessel trajectory prediction model.
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