Now showing items 1-4 of 4
Automated Vehicle Crash Rate Comparison Using Naturalistic Data
(Virginia Tech Transportation Institute, 2016-01-08)
This study assessed driving risk for the United States nationally and for the Google Self-Driving Car project. Driving safety on public roads was examined in three ways. The total crash rates for the Self-Driving Car and ...
Continuous Friction Measurement Equipment As a Tool for Improving Crash Rate Prediction: A Pilot Study
(Virginia Transportation Research Council, 2016-01)
A comprehensive pavement management system includes a Pavement Friction Management Program (PFMP) to ensure pavement surfaces are designed, constructed, and maintained to minimize friction-related crashes in a costeffective ...
Analysis of Repeated Network-Level Testing by the Falling Weight Deflectometer on I-81 in the Virginia Department of Transportation's Bristol District
(Virginia Transportation Research Council, 2016-11)
This study was undertaken in an effort to determine the required time between subsequent rounds of network-level pavement deflection testing using a falling weight deflectometer (FWD) on the Virginia Department of ...
Description of the SHRP 2 Naturalistic Database and the Crash, Near-Crash, and Baseline Data Sets
(Virginia Tech Transportation Institute, 2016-04)
The focus of this project was to identify and prepare crash, near-crash, and baseline data sets extracted from the Second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study (NDS) trip files, then to ...