The invention discloses a ship trajectory prediction method and system, computing equipment and a storage medium. The ship trajectory prediction method comprises the following steps: acquiring ship trajectory information within a preset time based on AIS data to generate a training data set and a prediction data set of a ship trajectory; constructing a trajectory prediction model of a bidirectional gating recurrent neural network based on an efficient attention mechanism, and training the trajectory prediction model through the training data set; and inputting the prediction data set into a pre-trained trajectory prediction model to obtain ship trajectory prediction information. According to the method, after ship trajectory information is input through the trajectory prediction model of the pre-constructed and trained bidirectional gating recurrent neural network, a more accurate ship trajectory prediction result can be output, and the real-time performance is higher.
本申请公开了一种船舶轨迹预测方法、系统、计算设备及存储介质。其中,船舶轨迹预测方法,包括:基于AIS数据获取预设时间内的船舶轨迹信息,以生成船舶轨迹的训练数据集和预测数据集;构建基于高效注意力机制的双向门控循环神经网络的轨迹预测模型,并通过所述训练数据集对所述轨迹预测模型训练;将所述预测数据集输入至预先训练好的轨迹预测模型,以得到船舶轨迹预测信息。该方法通过预先构建和训练的双向门控循环神经网络的轨迹预测模型,将船舶轨迹信息输入后,可以输出更准确的船舶轨迹预测结果,并且实时性更高。
Ship trajectory prediction method and system, computing device and storage medium
船舶轨迹预测方法、系统、计算设备及存储介质
2024-10-15
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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