A multi-target interaction flight trajectory prediction method based on an SCINet network belongs to the field of traffic trajectory prediction, and comprises the following steps: step 1, extracting trajectory data to form a multi-target interaction scene; step 2, designing a model framework of multi-target interactive flight trajectory prediction based on an SCINet network; the model captures long-term time dependence, multi-level characteristics and multi-target space characteristics of the trajectory; the method for capturing the long-term time dependence of the trajectory and the multilevel features is a time feature extraction method based on SCIcross; and step 3, inputting the tested observation trajectory information into the trained model to obtain a prediction trajectory. According to the invention, the flight path prediction accuracy under the condition of multi-target interaction of the same scene is improved.
一种基于SCINet网络的多目标交互飞行轨迹预测方法,属于交通轨迹预测领域,包括以下步骤:步骤1、提取轨迹数据,形成多目标交互场景;步骤2、设计一种基于SCINet网络的多目标交互飞行轨迹预测的模型框架;模型捕捉了轨迹长期时间依赖性、多层次特征与多目标空间特性;用于捕捉轨迹长期时间依赖性、多层次特征的方法是基于SCIcross的时间特征提取方法;步骤3、将测试的观测轨迹信息输入到训练好的模型中,得到预测轨迹。本发明提升了同一场景的多目标交互情况下的飞行轨迹预测准确性。
Multi-target interactive flight trajectory prediction method based on SCINet network
基于SCINet网络的多目标交互飞行轨迹预测方法
2025-03-21
Patent
Electronic Resource
Chinese
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