Contact Us       Opportunities       Hawkmail

How do I get to NADS?

Publications »
IMPACT Task 2: Final Report

Document Number:N2010-003
Document Type:Project report
Author(s):John D. Lee
Dary Fiorentino
Michelle Reyes
Timothy L. Brown
Omar Ahmad
Robert Dufour
James Fell
Nic Ward
Publication / Venue Name:None listed
Publication Date:2010-05-14
Abstract:Despite persistent efforts at the local, state, and federal levels, alcohol-related crashes still contribute to approximately 40% of all traffic fatalities. Although regulatory and educational approaches have helped reduce alcohol-related fatalities, other approaches merit investigation. One such approach detects alcohol impairment in real time using the increasingly sophisticated sensor and computational platform that is available on many production vehicles.

It may be possible to detect impairment based on driver state (e.g., eye movements), driver input (e.g., steering and accelerator modulation), and vehicle state (e.g., speed or lane position). Once detected, this information can support interventions that discourage drivers from driving while impaired and prevent alcohol-related crashes. This study examined which vehicle-based sensors can support algorithms to detect impairment in a robust and timely manner.

Bookmark and Share
Like us on Facebook!
Coypright © 2014 - The National Advanced Driving Simulator