@article{ref1,
title="Good drivers pay less: a study of usage-based vehicle insurance models",
journal="Transportation research part A: policy and practice",
year="2018",
author="Bian, Yiyang and Yang, Chen and Zhao, J. Leon and Liang, Liang",
volume="107",
number="",
pages="20-34",
abstract="Usage-based insurance (UBI) has been attracting more and more attention; however, two open research questions are how behavioral data of drivers affects driving risk and how driver behavior should affect UBI pricing schemas. This paper proposes a driver risk classification model to evaluate the risk level of drivers based on in-car sensor data. A Behavior-centric Vehicle Insurance Pricing model (BVIP) and a vehicle premium calculation prototype are developed in this paper. Based on empirical data, our research results show that BVIP achieves better accuracy in terms of risk-level classification and the prototype achieves good performance in terms of effectiveness and usability.<p /> <p>Language: en</p>",
language="en",
issn="0965-8564",
doi="10.1016/j.tra.2017.10.018",
url="http://dx.doi.org/10.1016/j.tra.2017.10.018"
}