A project led by Professor Guohui Zhang from the Department of Civil, Environmental and Construction Engineering at the University of Hawaii has been awarded $100,000 by the U.S. Department of Transportation (DOT). The project, “Toward Vision Zero: Sensing, Predicting and Preventing Intersection Collisions,” was selected as one of the 15 winners out of 120 entries in the U.S. DOT Intersection Safety Challenge.
Zhang says the award results from the hard work and collaboration between UH, the Hawai’i Department of Transportation (HDOT), the Pacific International Center for High Technology Research and industry partner NEC Corporation of America.
“We also appreciate all the support and leadership from Edwin Sniffen and Robin Shishido at HDOT and Brennon Morioka at the UH College of Engineering for their guidance and contributions,” he adds.
“This kind of project will go a long way in helping Hawaiʻi in its efforts towards reducing accidents and saving lives on Hawaiʻi’s roads by utilizing today’s cutting-edge innovation and technology.”
The AI tech project at Mānoa College of Engineering at the University of Hawaii aims to improve road safety for motorists and pedestrians.
The U.S. DOT Intersection Safety Challenge promotes the development of new technologies to enhance intersection safety for all road users, including vehicles, pedestrians and bicyclists.
Zhang’s project aims to enhance intersection safety by utilizing advanced technologies like sensors, edge computing, machine learning and wireless communication. The system says it prevents crashes between vehicles and pedestrians through real-time object identification and collision prediction. Issuing warnings aims to improve intersection safety, reduce costs and potentially benefit traffic systems by reducing congestion and emissions.
In related news, the University of Oulu’s M3S research group recently launched the “6G Visible” project, investigating the fusion of autonomous driving and the possibilities of 6G technology.
The Finnish project team is exploring the potential of 6G technology in autonomous driving. Their focus is optimizing software functionality, reliability and security to meet the demands of this field.
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DOT | edge computing | Hawaii | sensors | transport | US
