Tag: UA

  • December 13th, 2018

This report has the objective of presenting a problem identification that was done on motorcycle (MC) crashes with the goal of establishing and improving countermeasures for reducing these crash frequencies and severities in the future. The IMPACT displays are based on a comparison of two subsets, both restricted to multiple-vehicle crashes, and both of which […]

  • December 13th, 2018

The comparisons in this document are between those crashes that were caused by senior drivers (age 65 or older) compared to all other crashes. This enabled the characteristics for these crashes to surface so that traffic safety professionals can determine their magnitude and optimize senior driver safety programs to place emphasis on the most important […]

  • June 27th, 2018

Major findings: Primary Contributing Circumstance: Following Too Close is by far the greatest primary contributing factor in the AD involved subset of crashes, followed by Improper Lane Change/Use, Driving too fast for Conditions, and Ran Traffic Signal. When Over Speed Limit is combined with Driving Too Fast for Conditions, these combined speed related items become […]

  • October 30th, 2017

The next evolution of driving is coming to Tuscaloosa, Ala. In a partnership with the Alabama Department of Transportation, the University of Alabama is funding the installation of technology that will, ultimately, pave the way for automated driving. Bharat Balasubramanian, executive director of The University of Alabama’s Center for Advanced Vehicle Technologies and a former head […]