PTRAIL --一个并行弹道数据预处理的python包
PTRAIL -- A python package for parallel trajectory data preprocessing
摘要：
轨迹数据表示随时间改变其在空间中的位置的对象的轨迹。这类数据的处理和分析非常复杂，因为它通常是大量产生的，往往容易产生由地理定位设备，人类错误处理或区域覆盖范围限制产生的错误。因此，需要专门针对预处理轨迹数据而定制的软件。在这项工作中，我们提出了PTRAIL，一个Python包提供了几个轨迹预处理步骤，包括过滤，特征提取，插值。PTRAIL使用并行计算和向量化，适用于大型数据集，与其他python库相比速度更快。
英文摘要：
Trajectory data represent a trace of an object that changes its position in space over time. This kind of data is complex to handle and analyze, since it is generally produced in huge quantities, often prone to errors generated by the geolocation device, human mishandling, or area coverage limitation. Therefore, there is a need for software specifically tailored to preprocess trajectory data. In this work we propose PTRAIL, a python package offering several trajectory preprocessing steps, including filtering, feature extraction, and interpolation. PTRAIL uses parallel computation and vectorization, being suitable for large datasets and fast compared to other python libraries.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
