AI-Powered CCTV Analyzes How Urban Design Slows Traffic

Researchers have developed an AI system that uses existing traffic cameras to analyze how small urban design changes—like pedestrian refuges or curb extensions—affect driver behavior. By applying deep learning and speed estimation techniques, the system tracked vehicle speeds before and after these changes were installed in Minneapolis. The study found significant differences in driver behavior in the weeks following the changes.

This matters because cities often struggle to make streets safer without expensive infrastructure projects. With this AI system, urban planners could quickly test low-cost design tweaks and see real results, helping them make data-driven decisions about street safety. Think of it like a fitness tracker for your neighborhood—showing how small changes impact traffic patterns in real time.

If you're curious about how your city could use this, look for local transportation departments experimenting with AI-powered traffic analysis. Some cities might even share public dashboards showing these insights. You could also ask your local representatives to explore this technology for safer streets in your area.