Assessing Driver Performance of Lane-Merge Tasks Using Video Capture Method

¹- Video capture methods are useful for identifying information about a driver's visual behavior and their intent to perform a driving maneuver. They can capture data on where drivers are looking during primary and secondary driving tasks, which can be important for identifying driver intentions and roadway distractions. In this study the eye-glance and head movement of a driver performing a lane-merge task in a driving simulator is observed. Drivers were given a multitask driving scenario while performing lane-change and highway merging maneuvers. Multiple raters were used to assess the reliability of using eye-glance and head motion data for analyzing driver performance. The inter-rater reliability method was used to obtain a driver profile. The purpose of this study is to provide an analytical framework for assessing an elderly (65+) driver's performance during lane-change and highway merging multitask maneuvers using the video capture method. This work contributes to the discovery of knowledge and deeper insight about how a driver's behavior and physical state may directly influence their driving performance and profile.