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U.S. Department of Transportation U.S. Department of Transportation Icon United States Department of Transportation United States Department of Transportation

Development of Baseline Safety Performance Measures for Highly Automated Commercial Vehicles

Goal:

To analyze and evaluate data from previous naturalistic driving studies to determine parameters that should be included in future automated commercial motor vehicle (CMV) and truck platoon naturalistic driving studies and pilot tests.

Background:

The Federal Motor Carrier Safety Administration (FMCSA) has conducted numerous naturalistic driving studies to assess specific driver-related issues (e.g., fatigue, distraction, etc.). Further analysis of data from those studies and from telematic providers could inform future research efforts, including pilot tests of HACVs and platoons.

Summary:

To support the testing and potential deployment of highly automated commercial vehicles (HACVs) and truck platoon operations, FMCSA will identify baseline safety measures for HACVs and truck platoon configurations. In this project, researchers will analyze and evaluate previous naturalistic driving data to determine vehicle safety performance measures that could be attributable to the action or inaction of the driver, including but not limited to: exceeding the speed limit, lane deviations, following too closely, emergency braking, emergency steering, and other discernible crash avoidance maneuvers.

Outcomes:

Final report and baseline analysis tool.
 

Milestones:

Completed:

October 2017: Kick-off meeting
March 2018: Obtain driver/fleet management data
April 2018: Analysis of existing naturalistic driving studies complete
May 2019: Analysis of combined data set complete
August 2019: Final report due
Report Publication

Funding:

FY17 Funding: $456,673
FY18 Funding: $200,000

Current Status:

The final report is published and can be accessed here:

https://rosap.ntl.bts.gov/view/dot/57506

The baseline data tool is expected to be operational in fall of 2021.

Contractor:

Virginia Tech Transportation Institute