Assessing individual driver’s relative performance at curve: applying Data Envelopment Analysis on simulator data

This study investigates the performance of drivers at the individual level, at two different curves, using data from a driving simulator in order to identify the best drivers within the sample and to gain insight into the most problematic behavior of each driver. To this end, 34 participants varying in age and gender completed two particular simulator scenarios and their speed, acceleration and lateral position, were monitored at various points. The concept of composite indicators, which combines single indicators into one index score, was employed, and the technique of data envelopment analysis – an optimization model for measuring the relative performance of a set of decision making units, or drivers in this study – was used for the index construction. Based on the results, all drivers were ranked and best performers were distinguished from underperforming ones. Moreover, by analyzing the weights allocated to each indicator from the model, the most problematic parameter and point along the curve were identified for each driver. Finally, the sensitivity of the results was examined.

Publication year:2014

Keywords:driver’s relative performance, driving simulator data, index score, data envelopment analysis.

Accessibility:Open