@ARTICLE{yin_tiv18_ubi,
author={J. {Yin} and B. {Chen}},
journal={IEEE Transactions on Intelligent Vehicles},
title={An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data},
year={2018},
volume={3},
number={4},
pages={585-594},
keywords={automobiles;Big Data;driver information systems;insurance;learning (artificial intelligence);risk management;traffic engineering computing;advanced driver risk measurement system;usage-based insurance;big driving data;driver premium;general driver assistance applications;driver behaviors;boosted multiple-kernel learning;driving risk level;risk assessment;automobile insurance service;personalized automobile insurance;vehicle-oriented attributes;driver-oriented attributes;lane-oriented attributes;AdaBoost technique;Insurance;Automobiles;Sensors;Risk management;Intelligent vehicles;Usage-based-insurance;driving behaviors;automobile insurance},
doi={10.1109/TIV.2018.2874530},
ISSN={2379-8904},
month={Dec},}