Google Uses AI to Optimize Traffic Lights, Reducing Stops and Emissions
-
Google's AI analyzes traffic data from Google Maps to reduce stops and emissions by optimizing traffic light timing in cities globally. Early results show 30% fewer stops and 10% lower emissions in some cities.
-
The AI-powered recommendations allow cities to improve traffic flow with their existing infrastructure, making adoption easier. Cities can view and apply tweaks to light timing through a Google dashboard.
-
The project draws on Google's extensive Maps data rather than cities having to collect their own data. Google's free service and simple process have drawn positive response from cities so far.
-
The system takes a conservative approach, with adjustments every few weeks rather than real-time optimization. More advanced systems could be more effective.
-
Google plans to expand the project to more cities in 2022. Greater adoption could significantly reduce global emissions, though more scrutiny may follow.