Statistics and Its Interface

Volume 12 (2019)

Number 2

Usage based insurance model with point of interest data

Pages: 345 – 353



Yuxuan Zhang (Department of Statistics, University of California at Davis)

Jinchang Fan (Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland, U.S.A.)

Rui Pan (School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China)

Liang Huang (CIHON (Beijing) New Technology Co., Ltd., Beijing, China)


With the rapid advance of the Internet of Vehicles (IOV), IOV data are becoming increasingly available. This kind of data includes plentiful information, which can reflect driving behavior and driving environment. In this work, we try to utilize IOV data for accident prediction. Specifically, we propose a Usage Based Insurance (UBI) model where the response is whether the vehicle is involved in an accident. Mileage, driving behavior as well as Point of Interest (POI) information are incorporated as predictive variables. The newly proposed UBI model can be further used for driver segmentation.


internet of vehicles, point of interest, usage based insurance

The research of Rui Pan is supported by National Nature Science Foundation of China (NSFC, 11601539, 11631003, 71771224), the Fundamental Research Funds for the Central Universities (QL18010), and China’s National Key Research Special Program (No. 2016YFC0207704).

Received 2 January 2018

Published 11 March 2019