Authors: M. Jensen; J. Wagner; K. Alexander
Addresses: Department of Mechanical Engineering, College of Engineering and Science, Clemson University, Clemson, SC 29634, USA. ' Department of Mechanical Engineering, College of Engineering and Science, Clemson University, Clemson, SC 29634, USA. ' Automotive Safety Research Institute, College of Engineering and Science, Clemson University, Clemson, SC 29634, USA
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.
Keywords: data analysis; driver behaviour; driver safety; in-vehicle data; automotive safety; driver operation; driver classification; vehicle operating data; objective measurement; driver performance; vehicle safety; safety improvement.
International Journal of Vehicle Safety, 2011 Vol.5 No.3, pp.197 - 212
Available online: 07 Oct 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article