National study to explore automated driving systems in dynamic scenarios
The Virginia Tech Transportation Institute (VTTI) is collaborating with stakeholders in the manufacturing, infrastructure owner-operator, and public safety communities to study scenarios involving automated driving systems, such as encounters with public safety providers. The team says it will also address ways to facilitate communications between these systems and their supporting physical infrastructure.
The research is funded by a $7.5 million grant from the U.S. Department of Transportation (USDOT)—one of two competitive federal awards that the transportation institute received in September. Additional support is provided by the Virginia Department of Transportation and cost share from the project team members.
"Virginia is proud of VTTI as the recipient of this USDOT grant,” said Cathy McGhee, Virginia Director of Transportation Research and Innovation. “Our partnership in researching automated vehicles and their interaction with work zones and incident scenes is crucial in finding ways to reduce injuries and fatalities of those who work in and respond to events on our roadways. Law enforcement officers, firefighters, emergency medical technicians, safety service patrollers, and others put their lives on the line every day to protect the public, and we must leverage this technology in ways that enhances their safety.”
The dynamic nature of public safety scenarios could prove challenging for automated driving systems, according to Mike Mollenhauer, Director of VTTI’s Center for Technology Implementation. Mollenhauer is leading the project team along with Zachary Doerzaph, the Director of VTTI’s Center for Advanced Automotive Research.
“Let’s say a car with no front-seat occupants approaches a freeway crash that is blocking lanes, and a police officer is directing traffic,” said Mollenhauer. “How does the officer direct the car around the crash and then know that the vehicle will respond appropriately? This is just one of many scenarios for which industry, government, and academia must collaboratively provide solutions in order to enable public trust in this technology. VTTI and our project partners are honored to receive this grant and be entrusted with this responsibility.”
Over the next three years, the research team plans to identify solutions and build highly automated “Level 4” reference vehicles along with the connected infrastructure needed to support them. In the last phase of the project, they intend to hold three demonstrations to showcase the technology safely navigating challenging scenarios. The demos will take place in the greater Washington, D.C., area on the I-95 Express Lanes operated by Transurban.
“At Transurban, we know we can’t rely on concrete and steel alone for tomorrow’s transportation solutions,” said Jennifer Aument, President of Transurban North America. “Technology must be put to work to ensure that we can navigate unforeseen dynamics smarter and faster to protect drivers, road crews, and first responders.”
Following the on-road demonstrations, the Global Center for Automotive Performance (GCAPS) will then process the vehicle data that was collected to create 3D simulations of the driving scenarios. The simulations could help inform machine learning algorithms, industry and national standards, and educational materials for public service providers. The on-road trials are anticipated to take place in 2022.
The VTTI project team includes Transurban, the Virginia Department of Transportation, public safety stakeholders, the Global Center for Automotive Performance, and a consortium of automotive manufacturers organized through Crash Avoidance Metrics Partners LLC (CAMP).
For more information, visit campllc.org.