Volpe supported creating a foundation for Long Range Transportation Planning for National Parks
Volpe developed a low-cost, unclassified, near real-time network that is used to track vessels as they traverse the world’s waterways.
The world of intelligent transportation systems is complex. There are mobile apps that riders use to pay for transit, vehicle-to-infrastructure and vehicle-to-vehicle communication networks that have the potential to save thousands of lives, and data analytics that help...
Two recent benefit-cost analyses are helping form the foundation for smart decisions about proposed crosswalk infrastructure for people with disabilities and expanded use of excess flow valves, which halt the flow of gas if there is a pipe break or rupture.
Volpe developed a national model for evaluating fuel transport patterns, costs, and impacts to respond to military and commercial aviation sectors' need for reliable fuel supplies that can be distributed throughout supply chains in the continental United States and elsewhere.
The United States Transportation Command seeks Volpe’s research and analytical expertise to help increase fuel cost savings and maximize fuel efficiency for handling the combined shipping needs for all branches of the U.S. military, approximately 300,000 containers per year.
New technology enables air traffic controllers to see traffic with more precision than ever before.
Volpe has delivered critical assistance to the U.S. Air Force in a series of upgrades to air traffic control facilities and landing systems at military air bases across the U.S. and throughout the world. These systems improve voice communications and merge multiple radar inputs...
Track and infrastructure failure is the second leading cause of train derailments in the United States. Vehicle-track interaction research investigates wheel-rail contact forces and their consequences to reduce railroad derailments and improve safety.
Tackling complex, large-scale infrastructure upgrades at air traffic facilities in support of NextGen.