Pattern-Based Moving Target Trajectory Prediction in Hyperspace
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    Abstract:

    Based on the analysis of the existing trajectory model, this paper proposes a trajectory similarity calculation model and a moving object trajectory prediction model based on moving object acceleration and trajectory deflection angle. The moving object trajectory prediction method is proposed by comprehensive calculation and prediction model. The method comprises the following steps. 1) The historical trajectory is clustered based on the similarity of the trajectory to form the training cluster, and the trajectory similarity of the trajectory data of the target moving object is calculated based on each training cluster to find the maximum similarity historical trajectory. 2) The trajectory prediction is made based on the historical trajectory and the prediction model of moving object acceleration and trajectory deflection angle. The experimental results show that the prediction accuracy of the method is more than 90% in 500 m range, and the prediction time is relatively short, which has high practical value.

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章梦杰,邵培南,于铭华.多维空间中基于模式的移动对象轨迹预测.计算机系统应用,2018,27(1):113-119

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History
  • Received:April 10,2017
  • Revised:April 26,2017
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  • Online: December 22,2017
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