eduzhai > Applied Sciences > Transportation >

Covariate Selection from Telematics Car Driving Data

  • Save

... pages left unread,continue reading

Document pages: 0 pages

Abstract: Car insurance companies have started to collect high-frequency GPS location data of their car drivers. This data provides detailed information about the driving habits and driving styles of individual car drivers. We illustrate how this data can be analyzed using techniques from pattern recognition and machine learning. In particular, we describe how driving styles can be categorized so that they can be used for a regression analysis in car insurance pricing.

Please select stars to rate!

         

0 comments Sign in to leave a comment.

    Data loading, please wait...
×