VTTI Operational Support
This facility supports operations for Smart Roads maintenance and VTTI fleet maintenance and repair, and also provides electrical and mechanical support.
Our facilities provide an automation-friendly environment that government agencies, original equipment manufacturers, and suppliers can use to test and certify their systems, providing a system migration path from test-track to real-world operating environments.
The Virginia Smart Roads are state-of-the-art, closed test-bed research facilities managed by VTTI in cooperation with the Virginia Department of Transportation (VDOT). The Smart Roads are designed to accommodate testing on any type of roadway: highways, cities, rural roads, and everything in between.
Learn MoreThe Virginia Automated Corridors (VAC) provides an automation-friendly environment that government agencies, original equipment manufacturers, and suppliers can use to test and certify their systems, providing a system migration path from test-track to real-world operating environments.
Learn MoreThe Virginia Connected Corridors (VCC) is an initiative developed by VTTI in partnership with VDOT. The VCC encompasses both the Virginia Smart Roads and the Northern Virginia Connected-vehicle Test Bed, which is located along one of the most congested corridors in the United States.
Learn MoreVTTI has a collaboration with Virginia International Raceway (VIR) in Alton, Va., which allows the institute to conduct projects in a multi-use testing environment that includes both closed-course and open traffic conditions. The raceway track can be configured to five different courses ranging from 1.1 miles to 4.2 miles and includes such topography as hairpin curves and blind passes.
Learn MoreThe VTTI Crash Sled Lab houses an impact laboratory along with a high-speed biplane X-ray suite. The centerpiece of this lab is a 1.4-meganewton ServoSled System crash sled manufactured by Seattle Safety. This crash sled has unique capabilities in high-rate impact testing and imaging and is used primarily to study transportation-related trauma.
Learn MoreThe VTTI Smart Outdoor Lighting Lab (SOLL) provides a unique combination of capabilities and test sites around the Virginia Tech campus that can be configured with adjustable lighting systems based on real-world conditions.
Learn MoreThe Commercial Training and Prototyping simulator at VTTI is used for training and rapid prototyping purposes and gives fleets and organizations the ability to provide high-quality training and to evaluate systems and technologies before moving to full-field testing or demonstrations.
Learn MoreThe traditional laboratories at VTTI are housed in three buildings and include facilities dedicated to driver interface development, eye-glance data reduction, lighting research, accident analysis, accident database analysis, pavement research, and traffic simulation.
Additionally, the VTTI-developed data acquisition systems (DASs) have been designed to collect and store large amounts of continuous naturalistic data from the driving environment, including video, vehicle network information, and additional sensor information that can include radar, GPS, and acceleration.
Learn MoreTo supplement and support the focused transportation research of the institute, VTTI facilities feature a fully staffed garage and machine shop to instrument experimental vehicles.
VTTI also has its own vehicle fleet, which is uniquely instrumented for specific experiments.
Learn MoreVTTI's data center infrastructure is a large, complex, and continually evolving environment supporting the institute's mission by providing the foundation for VTTI's data-intensive scientific research programs, including peta-scale studies such as the National Academies of Science – Transportation Research Board's “Second Strategic Highway Research Program” (SHRP 2) Naturalistic Driving Study.
Learn MoreVTTI is one of the largest repositories of naturalistic driving data in the world. With on-site data reduction labs and extensive analysis experience, the institute realized the role it could play in helping others mine and reduce VTTI data to answer research questions about driver behavior and performance.
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