PTRAIL swMATH ID: 39927 Software Authors: Salman Haidri, Yaksh J. Haranwala, Vania Bogorny, Chiara Renso, Vinicius Prado da Fonseca, Amilcar Soares Description: PTRAIL - A python package for parallel trajectory data preprocessing. 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. Homepage: https://ptrail.readthedocs.io/en/latest/ Source Code: https://github.com/YakshHaranwala/PTRAIL Keywords: arXiv_cs.DC; Artificial Intelligence; arXiv_cs.AI; Python package; parallel trajectory data; Trajectory Preprocessing; Feature Engineering; Parallel processing; Vectorization Related Software: hampel_filter; Shapely; GeoPandas; pandas; NumPy; MovingPandas; scikit-mobility; SciPy; Python Cited in: 0 Publications Standard Articles 1 Publication describing the Software Year PTRAIL - A python package for parallel trajectory data preprocessing Salman Haidri, Yaksh J. Haranwala, Vania Bogorny, Chiara Renso, Vinicius Prado da Fonseca, Amilcar Soares 2021