Author: mmuro

  • August 20th, 2018

The overall objectives of this study were to: Identify and explore alternative safety data sources and analysis perspectives Demonstrate the potential utility of these alternative approaches in increasing understanding of precipitating events and predisposing factors for crashes occurring on horizontal curves and at unsignalized intersections along rural two-lane roads.

  • August 20th, 2018

Even as self-driving technology avoids crashes, imperfect human operators will still share the road and share the wheel. WASHINGTON, DC – Autonomous vehicles (AVs) promise to bring many mobility benefits and reduce traffic crashes enormously, as the federal government notes 94% of crashes are estimated to involve driver error. However, there will continue to be crashes, […]

  • August 8th, 2018

NHTSA’s process for monitoring for light passenger vehicle recalls lacks documentation and management controls, and does not ensure that remedies are reported completely and in a timely manner. The Agency also does not verify recall completion rates, although it has the authority to do so, and it lacks sufficient management controls to ensure staff assess risk […]

  • August 2nd, 2018

Students with disabilities should be considered in the planning and implementation of Safe Routes to School activities related to all of the Six E’s of Safe Routes to School. Providing an inclusive framework that outlines strategies for engaging students with disabilities from the beginning of the planning of your Safe Routes to School program is […]

  • August 1st, 2018

Traffic Volume Trends is a monthly report based on hourly traffic count data reported by the States. These data are collected at approximately 4,000 continuous traffic counting locations nationwide and are used to estimate the percent change in traffic for the current month compared with the same month in the previous year. Estimates are re-adjusted […]