A team from NYU's Tandon School of Engineering is launching a year-long initiative to develop NanoDT, a virtual 'twin' of Downtown Brooklyn. This innovative project aims to aid emergency responders by providing real-time 3D maps and traffic updates to enhance their decision-making during emergencies. Led by Kaan Ozbay and Zilin Bian, the use of AI and existing traffic data tools will help responders better navigate accidents, predict secondary risks, and ultimately save lives. The project is funded by an NVIDIA Academic Grant.
"Emergency responders often rely on limited information from human reporting or fixed cameras. Our system will give them a bird's-eye view of accident scenes, helping them identify optimal routes and predict secondary accident risks."
"In urban emergencies, where every second counts, NanoDT's real-time 3D visualization will transform traditional response methods into dynamic, data-driven decisions. Ultimately, we want to help save more lives in critical situations."
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