The proliferation of trajectory data in various application domains has inspired tremendous research efforts to analyze large-scale trajectory data from a variety of aspects. A fundamental ingredient of these trajectory analysis tasks and applications is distance measures for effectively determining how similar two trajectories are. We conduct a comprehensive survey of the trajectory distance measures. The trajectory distance measures are classified into four categories according to the trajectory data type and whether the temporal information is measured. In addition, the effectiveness and complexity of each distance measure are studied. The experimental study is also conducted on their effectiveness in the six different trajectory transformations.

中文翻译：

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轨迹距离测评与性能评估

轨迹数据在各种应用领域中的激增激发了巨大的研究努力，以从各个方面分析大规模轨迹数据。这些轨迹分析任务和应用程序的基本要素是距离度量，可以有效地确定两个轨迹的相似程度。我们对轨迹距离测量进行了全面的调查。根据轨迹数据类型和是否测量时间信息，将轨迹距离度量分为四类。此外，还研究了每种距离测量的有效性和复杂性。还对它们在六种不同轨迹转换中的有效性进行了实验研究。