Google’s AI Is Making Traffic Lights More Efficient and Less Annoying

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Google is analyzing data from its Maps app to suggest how cities can adjust traffic light timing to cut wait times and emissions. The company says it’s already cutting stops for millions of drivers.

Seattle is among a dozen cities across four continents, including Jakarta, Rio de Janeiro, and Hamburg, optimizing some traffic signals based on insights from driving data from Google Maps, aiming to reduce emissions from idling vehicles. The project analyzes data from Maps users using AI algorithms and has initially led to timing tweaks at 70 intersections.

” Rothenberg says Google has prioritized supporting larger cities who employ traffic engineers and can remotely control traffic signals, while also spreading out globally to prove the technology works well in a variety of conditions—suggesting it could, if widely adopted, make a big dent in global emissions. Through Maps data, Google can infer the signal timings and coordination at thousands of intersections per city.

 

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