A new AI framework could help cities plan for future traffic

Researchers built a geospatial AI framework that combines traffic forecasting, hexagonal spatial mapping, and a locally hosted language model using New York City data. This tool translates complex traffic models into plain-language guidance while keeping sensitive data behind a local firewall.

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