火力与指挥控制2024，Vol.49Issue(4)：71-76,6.DOI:10.3969/j.issn.1002-0640.2024.04.010
基于Seq2Seq-Att的船舶轨迹预测算法
Ship Trajectory Prediction Algorithm Based on Seq2Seq-Att
苗靖 1李晓婷1
作者信息
- 1. 北方自动控制技术研究所,太原 030006||智能信息控制技术山西省重点实验室,太原 030006
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摘要
Abstract
With the increasing number of ships at sea and the dramatic complexity of the sea situation,timely and accurate prediction of the next movement of ships has become an urgent need for maritime supervision.Aiming at the problem that the existing ship trajectory prediction algorithm has poor ability to extract trajectory features and low prediction accuracy,a sequence-to-sequence with attention(Seq2Seq-Att)ship trajectory prediction algorithm is proposed.By improving the encoder structure of Seq2Seq and adding the attention mechanism,the memory ability of the model on trajectory features is improved,so as to improve the prediction accuracy of the algorithm.The AIS data in the East China Sea is used as a sample to train the model to predict the longitude,latitude,speed and course of the ship in the future period.The experimental results show that compared with traditional algorithms,the prediction accuracy of the proposed algorithm is higher,and the root mean square error(RMSE)is significantly reduced,which can provide a basis for the maritime supervision and intelligent navigation.关键词
轨迹预测/注意力机制/序列到序列/AIS数据Key words
trajectory prediction/attention mechanism/sequence to sequence/AIS data分类
交通工程引用本文复制引用
苗靖,李晓婷..基于Seq2Seq-Att的船舶轨迹预测算法[J].火力与指挥控制,2024,49(4):71-76,6.
