Social Media Practices in Traffic Safety
This project included a scan of publicly available SHSO social media channels and a series of interviews with NHTSA Regional Offices and a sample of nine SHSOs.
This project included a scan of publicly available SHSO social media channels and a series of interviews with NHTSA Regional Offices and a sample of nine SHSOs.
This project examined existing risk communication strategies for impaired and distracted driving, reviewed messages and materials, theories and models of behavior change, risk communication, and communication theory and how these are relevant to impaired and distracted driving.
Through a focus group of motorcycle riders, the report finds that while most participants did not regularly wear such gear, those who did reported doing so after having been in a crash with a motor vehicle, or personally knowing another rider who had been in such a crash.
This project develops criteria for performance standards, identifies approaches, identifies factors to assess performance, develops statistical models, determines the optimal model and develops it into a tool for application, and tests the tool in various locations.
This synthesis of existing research examined data across 80 studies on the relationship between HVE efforts and safety outcomes, with a focus on not buckling up, speeding, and drunk, distracted and aggressive driving.
This project explores opportunities to increase police participation in high-visibility enforcement (HVE) efforts through innovative strategies that address specific challenges.
This project conducted a survey of LEL programs across the states as well a number of case studies on state programs.
This project conducted a preliminary qualitative research on the feasibility of using ALPRs as countermeasures to improve traffic safety.
This research report shows that dynamic speed feedback signs (DSFS’s), which display an approaching vehicle speed to the driver, are effective in reducing vehicle speeds.
This project started with a broad question: What can new, rich naturalistic driver data such as in the Second Strategic Highway Research Program’s Naturalistic Driving Study (SHRP2-NDS), tell us about how drivers react to roadway designs and access management techniques?