Safe-D: Safety through Disruption

April Gray

Virginia Tech Transportation Institute researchers to deploy smart work zone in Wise, Virginia

Daniel Burdisso and Will Vaughan

Designed to protect roadside workers and motorists, the work zone system creates a boundary and alerts workers when they approach its edge, keeping them safe from potential hazards.

Alexandria Rossi-Alvarez named University Transportation Center Student of the Year

Alexandria Rossi-Alvarez

Alexandria “Alli” Rossi-Alvarez, a doctoral student in the Grado Department of Industrial and Systems Engineering at Virginia Tech conducting research at the Virginia Tech Transportation Institute (VTTI), has been named a University Transportation Center (UTC) Student of the Year. She is a primary investigator on the Safe-D project Allusion 2.

Driving Forces: Erem Memisyazici

Erem Memisyazici

Erem Memisyazici brought a wealth of knowledge to his position as a senior research specialist in VTTI’s Division of Vehicle, Driver, & System Safety due to his 10 years of data reduction experience. In his current role, Erem is involved in data collection on various studies, both on the Virginia Smart Roads and in Northern Virginia. He provides assistance in many areas, whether it relates to projects under the Safe-D University Transportation Center or graphic design renderings for developing technologies.

Safe-D Project featured in USDOT RD&T UTC Video Forum on Artificial Intelligence in Transportation

Traffic Monitoring: Virginia Beach, VA

USDOT’s University Transportation Centers (UTC) program as part of the Office of Research, Development and Technology, in collaboration with the Intelligent Transportation Systems Joint Program Office (ITS/JPO), presented a series of video forums focused on emerging technologies and research in transportation.

Texas A&M University Achieves Federal Designation As Hispanic Serving Institution

Texas A&M University has been designated an eligible institution by the U.S. Department of Education to be a Hispanic Serving Institution (HSI).

CIITR’s Jason Wu Applies LiDAR Sensors to Safety, Traffic Monitoring

TTI researchers collect data for LiDAR research on The Texas A&M University System’s RELLIS Campus.

Texas A&M Transportation Institute (TTI) researchers in the Center for International Intelligent Transportation Research (CIITR) are currently implementing a pilot roadside LiDAR-based traffic monitoring system at international ports of entry (POEs).