VTTI was awarded a contract to manage a market research exercise of current Unmanned Aerial Systems (UAS) and hosted members of the National Advanced Mobility Consortium (NAMC) to showcase the Virginia Smart Roads and facilities and the ability to serve as a testing area for ground and aerial vehicles.
Currently, there is no existing single standard when it comes to ADAS and crash avoidance testing procedures, which means each testing program that assesses and rates advanced safety systems may have its own testing and rating process. As such, the goal of this project was to examine differences between ADAS test procedures conducted by test programs across the globe.
VTTI collaborated with the Center for Urban Transportation Research at the University of South Florida to study transit bus ventilation in the age of COVID-19.
While quiet vehicles may seem to be desirable, their lack of noise can pose a danger to pedestrians.
The main objective of the Center for Sustainable Mobility's Eco-CAC project is to significantly reduce vehicle energy consumption.
No one knows better than VTTI the extent of driving distraction as the cause of crashes. Driver distraction is a major contributing factor to crashes, which are a leading cause of death for the US population under 35 years of age. Driving is a visual task and non-driving activities that draw the driver's eyes away from the roadway (such as texting, dialing, and use of a laptop or dispatching device to perform complex tasks) should always be avoided.
Public safety officials, such as law enforcement, fire and rescue, and emergency medical personnel routinely interact with a broad spectrum of public and private vehicles to protect people, to investigate crimes or crashes, and to save lives.
Drivers and construction workers have always communicated with each other through various methods such as hand gestures and eye contact. With the advent of highly automated vehicles (HAVs) on the horizon, the transportation industry is interested in the ability of these vehicles to communicate their intent to other road users.
The objective of this project is to assess the environmental effects of a wide deployment of C-V2X and to evaluate the potential safety effects of C-V2X on various traffic participants.
The objective of the research is to capture the interdependency of the communication and transportation systems to better understand the impact of vehicle-to-everything (V2X) communication performance on V2X applications.
The InternHub program at VTTI provides Virginia Tech students with the opportunity to collaborate with influential automakers on projects that seek to solve the industry's most prominent transportation efforts.
VTTI is currently working on a project with the Department of Energy to quantify the effects of outdoor lighting that utilizes Solid State lighting (LEDs) on melatonin in humans.
To solve resolution issues when utilizing radar on a small scale, VTTI has proposed a high-level sensor fusion method between radar and automotive-grade LiDAR.
The MicroDAS was designed to be small, cost effective, and easy to install in a wide variety of vehicles.
There is currently no state-of-the-art tool widely available to lead the effort of cutting emissions in freight rail, so this ongoing project is developing open-source software to assess important variables in freight rail carbonization.
The Pavement Friction Management Support Program is working to introduce state-of-the-art methods for measuring roadway friction.
The objective of this project is to bring together pavement design and evaluation experts with maintenance and safety professionals to ensure that the work of the pavement community has an impact on striving for zero deaths on U.S. highways.
In collaboration with the AAA Foundation for Traffic Safety, VTTI developed and implemented a pilot sentinel surveillance system at two Level I trauma centers: one in Roanoke, VA, and the other in Winston-Salem, NC.
This project is analyzing the performance of an Automated Placard Reader System (APRS) under real-world operating scenarios.
This project focuses on demonstrating how vehicles equipped with automated driving systems (ADS) can safely interact with public services and infrastructure providers.
VTTI's Scientific Data Warehouse supports the massive amounts of data generated by naturalistic driving studies.
GCAPS is currently working on creating a sensor degradation detection algorithm through simulation established by physical testing and naturalistic data.
The Global Center for Automotive Performance Simulation (GCAPS), in collaboration with Coast Mountain Bus Company and TransLink, helped to select tires for the City of Vancouver in an effort to improve their public transit system.
VTTI is currently working on a robust study of issues concerning the deployment of Automated Driving Systems (ADS) to showcase important aspects of how motor carriers can incorporate ADS-equipped vehicles into their operations.
There is some evidence that driver behavior may be detrimentally impacted by the use of advanced-vehicle technologies; however, more research is needed regarding the possible adverse effects of driving automation systems on driver behavior (e.g., distraction and overreliance upon the system).