Analysis of Naturalistic Driving Data to Assess Distraction and Drowsiness in Drivers of Commercial Motor Vehicles
Project Goal:
To Analyze the collected naturalistic driving data from the Onboard Monitoring System (OBMS) Field Operational Test (FOT) in order to assess fatigue and distraction as it relates to crash risk.
Background:
The OBMS FOT collected continuous naturalistic driving data for over 200 trucks and buses. This project will analyze the continuous naturalistic driving dataset from the OBMS FOT.
Summary:
This study will determine whether driving hour is related to increased crash risk and assess fatigue and distraction as it relates to crash risk. The study will also analyze the data to answer questions regarding risk of SCEs, including: • Hands-free and handheld cell phone use. • Tasks in which drivers engage prior to involvement in SCEs. • Environmental conditions. • Eyes off forward roadway. • Driver drowsiness. • Time-on-task.
|
Milestone |
Date |
Completed? |
|
Kick-off meeting |
10/20/2016 |
Yes |
|
Conduct peer review |
8/14/2017 |
Yes |
|
Draft final report |
1/22/2019 |
Yes |
|
Final briefing, final report, and research brief |
10/10/2019 |
Yes |
|
Publish Final Report |
8/1/2021 |
Yes |
Funding:
$ 1,799,676.00
Current Status:
Project is complete. The final report is available at:
https://rosap.ntl.bts.gov/view/dot/57153
Contractor:
Virginia Tech Transportation Institute
Last updated: Thursday, December 2, 2021