Driver Attribute Classification Method Based on Driving Behavior

Abstract

In this study, the objective was to develop a method for classifying driver attributes based on driving behavior, aiming to create a driving support system that enhances safety and comfort. Unlike traditional methods that relied on check sheets for accurate but delayed attribute classification, this study focused on immediate and flexible classification. An experiment was conducted using a driving simulator to predict driver attributes through multiple regression analysis of the driving log, which recorded vehicle behavior during driving. The obtained results were then applied to facilitate a harmonious interaction between the driver and the system, particularly in environments involving automated driving levels 2 and 3, where the driver remains engaged in the driving operation.The summarized results of the study are as follows:1)A model was proposed to predict two driver attributes: driving safety aptitude and system dependence.2)The study confirmed a correlation between the two driver attributes and actions/behaviors associated with deceleration, as observed from the driving behavior parameters extracted from the driving logs.Specifically, individual driver characteristics were more likely to manifest in braking operations and deceleration-related driving behavior. The study suggests that incorporating additional parameters related to deceleration could further enhance the accuracy of driver attribute prediction.Overall, this research contributes to the development of a driver support system that considers driver attributes and behavior, enabling a safer and more comfortable driving environment, particularly in the context of automated driving.

Keywords: Driver Attribute classification, Driving Style Check Sheet, Driving Workload Sensitivity Check Sheet, Driving Behavior

DOI: 10.54941/ahfe1004344