详情

Safety enhancement by detecting driver impairment through analysis of real-time volatilities

项目名称：	Safety enhancement by detecting driver impairment through analysis of real-time volatilities
摘要：	The overall goal of the project is to focus on understanding early detection of driver impairment using streaming biometric information coupled with data on vehicle performance and surrounding contexts. During Phase 1 of the project, the team focused on developing a framework for driver impairment detection through analysis of driver biometric information along with vehicle and road infrastructure factors, with streaming data. This project will contribute by implementing the framework and the model developed in Phase 1 to detect impaired driving and any abnormality in the driver, vehicle, and roadway/environment system performance. The model can be used by transportation stakeholders to reduce the probability of crashes. The motivation behind our research is to enhance safety by monitoring driver actions and detecting impairment. To accomplish this task, the project team will conduct experiments in a simulated environment where they will request the participants to emulate specific distracted driving behaviors, e.g., texting, reading, looking at scenery, drowsiness, and drinking. The project team will take a multimodal approach to data collection, monitoring, and analysis. Specifically, the data will include driver biometric signals, vehicle dynamics and telemetry, and external environmental conditions, e.g., traffic flow, simulated weather, day/night conditions. The outcomes of this project will include embedding leading indicators of impairment in Advanced Driver Assistance System (ADAS) that can greatly enhance safety, given the substantial interest from major automotive and information technology companies, especially for applications in fleet vehicles.
状态：	Active
资金：	TBD
资助组织：	Office of the Assistant Secretary for Research and Technology
项目负责人：	Sandt, Laura
执行机构：	University of Tennessee, Knoxville<==>University of North Carolina at Chapel Hill
开始时间：	20210501
预计完成日期：	20220531
主题领域：	Data and Information Technology；Highways；Safety and Human Factors