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Behavioral Indicators of Drowsy Driving: Active Search Mirror Checks

项目名称：	Behavioral Indicators of Drowsy Driving: Active Search Mirror Checks
摘要：	Driver impairment, due to drowsiness or fatigue, has a significant impact on the safety of all road users. Assessing an impairment such as driver drowsiness, through the use of vehicle-based technology, continues to be an area of interest. Both the initial detection, as well as continued monitoring, of driver drowsiness have been the emphasis of vehicle-based Driver Monitoring Systems (DMS). Particularly, in-vehicle eye-tracking systems have been implemented, as a way of determining driver state. Specifically, when hands-free driving assistance features are engaged, measures such as the driver’s percentage of eye closure (PERCLOS) are being used to determine driver drowsiness. However, one challenge of such a metric is its reliability; particularly with regard to false alarms (when a DMS indicates the driver is drowsy, but in fact is not). Therefore, the use of more gross-level driver behavioral-based measures may serve as a way of crosschecking the assessments of a DMS. This work aims to mine an available dataset in order to examine driver search behavior, with the goal of identifying relationships between driver vigilance and drowsy driving. The hypothesis is that driver search behavior (e.g. mirror checks) degrades with increasing levels of drowsiness. If a reliable relationship is found between driver vigilance and state of drowsiness, the practical applications may be to incorporate this measure of driver search behavior into the “toolbox” of metrics for estimating driver drowsiness.
状态：	Active
资金：	354000
资助组织：	Office of the Assistant Secretary for Research and Technology
项目负责人：	Glenn, Eric Zachary
执行机构：	Virginia Tech Transportation Institute
开始时间：	20201001
预计完成日期：	20220501
主题领域：	Highways；Safety and Human Factors