Category: Analysis & Data

  • November 22nd, 2019

Safety is paramount in the work we do at the Alabama Department of Transportation. It begins with our pre-construction process, where we plan and design the safest roads and bridges possible. Whether it’s planning for new construction, replacing functionally obsolete or structurally deficient bridges, or widening shoulders scored with rumble strips on rural resurfacing projects, […]

  • June 26th, 2019

Traffic fatalities in 2018 declined 1.0 percent from 2017, to an estimated 36,750 people, according to preliminary data from the National Highway Traffic Safety Administration (NHTSA). As American motorists’ total vehicle miles traveled (VMT) increased by 0.4 percent in 2018, the fatality rate declined to an estimated 1.14 per 100 million VMT, a drop from […]

  • June 18th, 2019

This report explores how seamless data collection, analysis and sharing can unlock innovations in transport safety. The rise of smartphones, sensors and connected objects is relentlessly producing more data. Progress in computing power, data science and artificial intelligence make it possible to interpret them. This presents an opportunity for the transport sector in general and […]

  • March 6th, 2019

Roadway departure (RD) is recognized as one of the eight emphasis areas in the Virginia 2017-2021 Strategic Highway Safety Plan (SHSP), and the Virginia Department of Transportation (VDOT) currently uses counts of RD crashes to identify locations for RD safety improvement. However, identifying locations based on crash counts is subject to bias and inaccuracy, leading […]

  • February 14th, 2019

In the year 2040, Alabamians will take stock of their transportation network and how it provides for economic growth and quality of life. They will look back on decisions made in 2019 by Alabama’s citizens, business community and Legislature. Exotic and disruptive innovations such as automated and autonomous vehicles, networked ridesharing, and cars and trucks […]

  • February 12th, 2019

The U.S. Department of Transportation (DOT) is leading a Safety Data Initiative (SDI), to enhance the analysis and visualization that informs safety policy decisions. In support of the SDI, Volpe applied machine learning techniques to assess the potential for crowd-sourced roadway data such as Waze alerts to serve as a reliable indicator of police-reportable crashes. […]

  • January 9th, 2019

This research brief utilized data from the AAA Longitudinal Research on Aging Drivers (LongROAD) study to examine the amount and types of medications used by older drivers. Many medications – such as antihistamines, narcotic analgesics, central nervous system (CNS) drugs, muscle relaxants and tricyclic antidepressants – have been associated with increased crash risk. 1,2 We […]