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Resilient Mobility Through AI: Revolutionizing Emergency Planning with Digital Twins
In the face of extreme weather events and natural disasters, urban transportation networks face extreme vulnerability. With the help of AI-powered digital twins, Civil and Environmental Engineering Associate Professor Hadi Meidani offers a viable tool that can model dynamic changes in mobility conditions in real time, leading to more effective evacuation, resource transport, and connectivity during crises. The full article can be accessed by clicking on the title.

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