Google Research has launched Green Light, a project aimed at tackling urban traffic inefficiencies. The project uses Google Maps and Waze data to analyze traffic patterns and adjust light synchronization accordingly. This innovative approach helps reduce congestion and emissions. By leveraging real-time mobility data, Green Light identifies congestion points and provides AI-generated recommendations.
The system has shown promising results, cutting unnecessary stops by 30% and reducing intersection-based CO2 emissions by 10%. With Green Light managing a large number of trips monthly, its expansion is a step toward sustainable urban transport. As AI-driven solutions scale, cities worldwide could see similar improvements in congestion and air quality. This aligns with global sustainability goals, paving the way for a more environmentally friendly future.
