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Trajectory data represent a trace of an object that changes its position inspace over time. This kind of data is complex to handle and analyze, since itis generally produced in huge quantities, often prone to errors generated bythe geolocation device, human mishandling, or area coverage limitation.Therefore, there is a need for software specifically tailored to preprocesstrajectory data. In this work we propose PTRAIL, a python package offeringseveral trajectory preprocessing steps, including filtering, featureextraction, and interpolation. PTRAIL uses parallel computation andvectorization, being suitable for large datasets and fast compared to otherpython libraries.

PTRAIL -- A python package for parallel trajectory data preprocessing