The trajectory information generated by the moving object plays an important role in studying the object movement. In this paper, a trajectory data compression algorithm based on the motion state changing is proposed to reduce trajectory data storage space and increase compression speed, which can accurately show the motion state and trajectory characteristics. This study has certain significance for the exploration of mass traffic data and the planning of traffic network. Combining the angle threshold with the velocity threshold of a moving object, the key data points are found and the redundant information is removed. Subsequently, the compressed trajectory is obtained. The experimental results show that the new algorithm can help to improve compression efficiency. The compressed trajectory has high similarity with the original trajectory in movement tendency.

中文翻译：

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基于运动状态变化的轨迹数据压缩算法

由运动物体产生的轨迹信息在研究物体运动中起着重要的作用。本文提出了一种基于运动状态变化的轨迹数据压缩算法，以减少轨迹数据的存储空间并提高压缩速度，从而可以准确地显示运动状态和轨迹特征。该研究对海量交通数据的探索和交通网络的规划具有一定的意义。结合角度阈值和移动物体的速度阈值，找到关键数据点，并删除冗余信息。随后，获得压缩轨迹。实验结果表明，新算法可以帮助提高压缩效率。