@article{ref1,
title="Analysis of in-vehicle driver behaviour data for improved safety",
journal="International journal of vehicle safety",
year="2011",
author="Jensen, M. and Wagner, J. and Alexander, K.",
volume="5",
number="3",
pages="197-212",
abstract="Automotive safety is an important criterion for consumers, manufacturers and government regulators when considering vehicle design and driver operation. The availability of a driver classification system, based on in-vehicle operating data, offers a useful tool to create a safer transportation environment. In this paper, several mathematical strategies will be presented to analyse collected vehicle data for driver classification. A group of test subjects were supplied in-vehicle data acquisition devices and requested to drive their normal schedules. The collected data was analysed off-line and a driver classification system was proposed. Representative results will be presented and discussed to demonstrate the concept.<p />",
language="en",
issn="1479-3105",
doi="10.1504/IJVS.2011.042850",
url="http://dx.doi.org/10.1504/IJVS.2011.042850"
}