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The AXA Kaggle challenge Driver Telematics Analysis provides a dataset of over 50,000 anonymized driver trips.

Are there open databases of tagged, non-anonymized trips, with several trips for each driver, with car ID identified (if the driver drives several different cars), that could serve as training data for a data science newbie, and that could be distorted (jitter, noise) to test the robustness of driver detection/clustering algorithms (since we know the ground truth).

Weather conditions could be a plus.

I am checking the Publicly available taxi GPS data aside.

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OpenStreetMap hosts GPS Traces that are uploaded by the community. Not all are for driving, but you can probably screen GPS tracks for total distance to find driving ones. Or screen for users that meet a criteria, like this one

Files are downloadable as GPX format, which has many libraries that support parsing and analyzing.

Bulk download of OSM's traces is possible: Blog post and download site

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With GPS coordinates and time you could join to a global weather database (example).

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