General Content
Suicide Intervention Training Program Basics
View a 508-compliant version of the content presented in the Suicide Intervention Training Program Basics graphic.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...Introducing Students to Careers in Intelligent Transportation Systems (ITS)
In 2014, FHWA sponsored an SBIR topic titled “STEM Education: Increasing Awareness about Intelligent Transportation Systems and Connected Vehicle Technologies for High School Students.” The topic aimed to create innovative, hands-on, problem-based learning opportunities that would give students the...U.S. DOT Volpe Center Pathways Internship Education Requirements
As a part of the “Apply Online” process, before you submit your application, you will be asked to complete a checklist to identify the occupation(s) you wish to apply for. Your application must include documentation that shows you meet the respective individual occupation and series requirements as...Comparison of Two Community Noise Models Applied to a NASA Urban Air Mobility Concept Vehicle
InterNoise 2021
Abstract ID 1650
By Stephen A. Rizzi, NASA Langley, USA; Juliet A. Page, U.S. DOT Volpe Center, USA; and Rui Cheng, NIA, USA
Comparison of Two Community Noise Models Applied to a NASA Urban Air Mobility Concept Vehicle
CitationRizzi, Stephen A., Juliet A. Page, and Rui Cheng. Comparison of Two Community Noise Models Applied to a NASA Urban Air Mobility Concept Vehicle, Internoise 2021, August 2021.
AbstractPredictions of community noise exposure from a NASA urban air mobility (UAM) concept...