AI for Cities and Transportation

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This talk presents two projects that demonstrate how AI can be useful to cities in the short-run. The first is an LLM-based chatbot that answers users’ conversational questions about a transit system. It shows how AI can be used to understand transportation systems better. The second is a deep learning and post-processing pipeline that draws boundaries around all parking lots in US cities. It shows how AI is useful for measuring quantities relevant to current policy choices.