Learning from Trajectory Data with MobiML

This demo paper introduces MobiML, a new library that aims to help scientists and engineers with developing mobility ML solutions using trajectory data. We also demonstrate how MobiML can speed up ML development workflows using the example of a reproduction of the workflow for training a GeoTrackNet trajectory anomaly detection model. MobiML is available at: https://github.com/movingpandas/mobiml

10 April 2025

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