States are required to have access to annual average daily traffic (AADT) for all public paved roads, including non-Federal aid system (NFAS) roadways. The expectation is to use AADT estimates in data-driven safety analysis. Because collecting data on NFAS roads is financially difficult, agencies are interested in exploring affordable ways to estimate AADT. The goal of this project was to determine the accuracy of AADT estimates developed from alternative data sources and quantify the impact of AADT on safety analysis. The researchers compared 2017 AADT data provided by the Texas Department of Transportation (DOT) and the Virginia DOT against probe-based … Webinar: Use of Disruptive Technologies to Support Safety Analysis and Meet New Federal Requirements
Adam Novotny of VTTI has been honored as a UTC student of the year. Each year, the U.S. DOT honors outstanding students from participating UTCs for their achievements and promise of future contributions to the transportation field. Students of the Year are selected based on their accomplishments in such areas as technical merit and research, academic performance, professionalism, and leadership. Adam was first author on a soon-to-be published-paper titled “Concept Development of the Novel Pre Rear-End Positioning and Risk Extenuation System (PREPARES).” In 2019, his team won the international title with this project in the Collegiate Student Safety Technology Design … Adam Novotny wins UTC Student of the Year
An interdisciplinary research group at Virginia Tech is using an award of $550,000 to create a virtual environment to test safety measures for the interaction between electric vehicles (EVs) and pedestrians. The award is an 18-month project funded by the Safety through Disruption (Safe-D) University Transportation Center.