Speakers

When disasters strike, transportation agencies face slow, labor-intensive damage assessments that delay critical repairs and federal relief funding. This session explores how artificial intelligence and computer vision are revolutionizing disaster response. By leveraging these technologies with imagery from Google Street View and post-event crowdsourced dash cameras, agencies can automate the identification of damaged roads, fallen signs, and other hazards in near real-time.
We will discuss real-world applications that streamline data collection, enabling agencies to prioritize repairs more effectively and expedite the complex documentation required for federal aid. Attendees will gain practical insights into integrating these innovative tools to reduce costs, improve decision-making, and enhance overall response capabilities. Join us to learn how AI-powered solutions can help your agency restore infrastructure faster and accelerate community recovery.