After 2 years, Google‘s Project Green Light is turning heads and making news in the world of sustainable urban planning. At the Google’s Sustainability 2023 event, this new initiative uses artificial intelligence (AI) to transform ordinary traffic signals into pollution-fighting tools.
Google deploys machine learning to examine Maps data, gauging traffic congestion and vehicle wait times at stoplights.
This data then trains AI systems to adjust the traffic light timings, aiming to minimize both idle time and the start-and-stop nature of city driving.
Google is after a big goal and aiding its partners in cutting down one gigaton of carbon emissions by the end of this decade.
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Initially a pilot in four Israeli intersections, the program’s success a reduction in fuel use and intersection delays by up to 20% which led to its expansion to 12 global cities.
Google include Rio de Janeiro, Manchester, and Jakarta, and also has plans to broaden its reach in 2024.
Yael Maguire, Google’s VP of Geo Sustainability, said the system is unique in its scalability and cost-effectiveness, suggesting a potential 30% reduction in traffic stops.
Also, city engineers can start seeing the impact within weeks of implementation.
Results from Manchester show emission levels and air quality improving by about 18%.
By optimizing routes by Google Maps, the service has already avert around 2.4 million metric tons of carbon emissions.
That’s comparable to sidelining half a million petrol cars for a year.