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A Matrix-Based Prediction Method for Spatial Trajectories

机译：一种基于矩阵的空间轨迹预测方法

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摘要

This paper proposes a kind of location-based research, spatial trajectory prediction, which is to predict the track of a subject's future movements. The proposed method works as follows. The mobile user sends his/her current trajectory along with several dummy trajectories to the server by using a 3D trajectory matrix, which encodes a set of trajectories. The server restores the trajectories from the 3D matrix and matches the restored trajectories to the saved trajectories. The predicted trajectory is found as the trunk of the tree, which is built by superimposing the matching results. The server then sends the predicted trajectories back to the user, who will apply the target predicted trajectory to a real-world problem such as the example mentioned in this paragraph. Preliminary experimental results show the proposed method successfully predicts spatial trajectories based on current and previous trajectories. User privacy is also rigorously protected by using a simple method of dummy trajectories.
机译：本文提出了一种基于位置的研究，即空间轨迹预测，旨在预测对象未来运动的轨迹。所提出的方法如下工作。移动用户通过使用3D轨迹矩阵将他/她的当前轨迹以及几个虚拟轨迹发送到服务器，该3D轨迹矩阵对一组轨迹进行编码。服务器从3D矩阵还原轨迹，并将还原的轨迹与保存的轨迹进行匹配。找到预测的轨迹作为树的树干，它是通过叠加匹配结果而构建的。然后，服务器将预测轨迹发送回用户，用户将把目标预测轨迹应用于实际问题，例如本段中提到的示例。初步实验结果表明，该方法成功地根据当前和先前的轨迹预测了空间轨迹。使用虚拟轨迹的简单方法也可以严格保护用户隐私。

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