Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach. (arXiv:2205.04616v1 [cs.LG])

In recent years it has become possible to collect GPS data from drivers and
to incorporate this data into automobile insurance pricing for the driver. This
data is continuously collected and processed nightly into metadata consisting
of mileage and time summaries of each discrete trip taken, and a set of
behavioral scores describing attributes of the trip (e.g, driver fatigue or
driver distraction) so we examine whether it can be used to identify periods of
increased risk by successfully classifying …

arxiv automobile features prediction