Category: Analysis & Data

  • August 7th, 2026

The national estimate of seat belt use by adult front-seat passengers of passenger vehicles in 2025 was 91.3 percent, not statistically different (at the .05 level) from 91.2 percent observed in 2024. This estimate represents the percentage of occupants who are belted during an average daylight moment. Seat Belt Use in 2025

  • July 27th, 2026

Waymo’s driverless cars are involved in fewer crashes than human drivers, but the federal system for monitoring automated vehicles needs improvement, a new study from the Insurance Institute for Highway Safety shows. Per vehicle mile traveled (VMT), Waymo’s driverless vehicles deployed in San Francisco, Phoenix, Los Angeles and Austin were involved in 68% fewer crashes than human […]

  • June 29th, 2026

Advances in automotive technology aim to enhance traffic safety beyond the capabilities of earlier vehicles. Vehicle technologies have progressed from basic assistance systems to higher levels of automation, including services like robotaxis. As these technologies continue to develop, it is essential to understand how drivers’ perceptions and attitudes toward these systems are evolving. Examining these […]

  • June 9th, 2026

Traffic volume data are used by state departments of transportation (DOTs), metropolitan planning organizations (MPOs), and other local agencies in various analyses and functions related to transportation planning, design, traffic operations, safety, pavement design and maintenance, enforcement, environmental analysis, and construction, among others. Leveraging Existing Traffic Signal Assets to Obtain Quality Traffic Counts

  • February 20th, 2026

This Research Brief provides highlights from the AAA Foundation for Traffic Safety’s 2024 American Driving Survey, which quantifies the daily driving of the U.S. population in 2024 and compares results to 2023 and 2022. Similar to 2023, this Research Brief analyzes the age of vehicles driven by the American public and explores differences by population […]

  • February 20th, 2026

The availability of large-scale, high-resolution, and consistently collected road data will improve the safety of all road users. The use of artificial intelligence (AI), machine learning (ML), and big data is key in providing the information needed to power data-driven, public, and proprietary safety analysis tools, as well as predictive and other systemic safety tools. […]