Now showing items 1-4 of 4
Virginia Connected Vehicle Test Bed System Performance (V2I System Performance)
(Connected Vehicle/Infrastructure University Transportation Center (CVI-UTC), 2016-05-01)
This project identified vehicle-to-infrastructure (V2I) communication system limitations on the Northern Virginia Connected Vehicle Test Bed. Real-world historical data were analyzed to determine wireless Dedicated Short ...
Modeling Driver Behavior During Automated Vehicle Platooning Failures
(SAFE-D: Safety Through Disruption National University Transportation Center, 2021-01)
Automated vehicles (AVs) promise to revolutionize driving safety. Driver models can aid in achieving this promise by providing a tool for designers to ensure safe interactions between human drivers and AVs. In this project, ...
Video Magnification to Detect Heart Rate for Drivers
(National Surface Transportation Safety Center for Excellence, 2017-11-13)
Heart rate is a strong indicator of a person’s psychophysiological state. For this reason, many applications would benefit from the ability to measure noncontact heart rate. The present work describes a new procedure for ...
Assessment of Psychophysiological Characteristics of Drivers Using Heart Rate from SHRP2 Face Video Data
The goal is to <ul> <li>Extract heart rate from face video</li> <li>Understand the behavior of driver, e.g. cognitive load, panic attack, drowsiness, DUI</li> <li>Develop automatic video reduction technique</li> <li>Devise ...