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Partnering for the Aviation System of the Future

The Volpe Center is developing a Ground-Based Detect and Avoid (GBDAA) capability that detects aircraft in proximity to remotely piloted aircraft (RPA) by fusing aircraft position data from different types of ground-based radars and displaying the information in real-time.This enables RPA...

The U.S. DOT Volpe Center Seeks Student Interns for 2022

The U.S. Department of Transportation (U.S. DOT) Volpe National Transportation Systems Center (Volpe Center) announced that it is now recruiting talented individuals to fill positions as part of its 2022 Pathways Internship Program.

First-of-Its-Kind Hazard Alert System for Motorcyclists

With support from U.S. DOT’s SBIR program, Charles River Analytics developed a first-of—its-kind roadway hazard alert application for motorcyclists that alerts motorcyclists to such roadway dangers as infrastructure hazards, surface hazards, roadway obstacles, and weather hazards.

Highway-Rail Grade Crossing Safety and Trespass Prevention Research

The U.S. DOT Volpe Center’s Systems Safety and Engineering Division works on behalf of the Federal Railroad Administration’s (FRA) Highway-Rail Grade Crossing Safety and Trespass Prevention Program to evaluate methodologies, visual and audio warnings, motor vehicle and train presence detection,...

Connected Vehicles at Highway-Rail Grade Crossings Research

The U.S. DOT Volpe Center’s Systems Safety and Engineering Division supports FRA research activities related to designing, developing, and testing the Railroad Crossing Violation Warning (RCVW) vehicle-to-infrastructure safety application for connected vehicles. This collection of publications and...

U.S. DOT’s SBIR Program Celebrates Small Business Week 2021

U.S. DOT celebrates small businesses and their many contributions, including ways their innovative ideas can advance research through U.S. DOT’s Small Business Innovation Research program. Small businesses play an important role in making our transportation system safer and more efficient. Here’s...