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Google's AI Is Making Traffic Lights More Efficient and Less Annoying - WIRED   

Each time a driver in Seattle meets a red light, they wait about 20 seconds on average before it turns green again, according to vehicle and smartphone data collected by analytics company Inrix. The delays cause annoyance and expel in Seattle alone an estimated 1,000 metric tons or more of carbon dioxide into the atmosphere each day. With a little help from new Google AI software, the toll on both the environment and drivers is beginning to drop significantly.

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. By Google's preliminary accounting of traffic before and after adjustments tested last year and this year, its AI-powered recommendations for timing out the busy lights cut as many as 30 percent of stops and 10 percent of emissions for 30 million cars a month.

Google announced those early results today along with other updates to projects that use its data and AI researchers to drive greater environmental sustainability. The company is expanding to India and Indonesia the fuel-efficient routing feature in Maps, which directs drivers onto roads with less traffic or uphill driving, and it is introducing flight-routing suggestions to air traffic controllers for Belgium, the Netherlands, Luxembourg, and northwest Germany to reduce climate-warming contrails.

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