Author Topic: Google turns AI into traffic lights to reduce pollution  (Read 100 times)

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kafa88

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Google turns AI into traffic lights to reduce pollution
« on: October 07, 2021, 05:18:00 PM »

A poorly timed traffic light doesn't just waste precious time, slot like Google Chief Sustainability Officer Kate Brandt at a media event yesterday. They are bad for health and the environment. The company has released a number of sustainability-focused products and updates today. Its goal is to help users make more informed and environmentally friendly decisions. but also working on projects that can use AI to make traffic lights more efficient. resulting in reduction of pollution in general

When your car stops at an intersection That idle time leads to fuel loss and "More street-level air pollution," Brandt said, a new Google project will use AI to measure and calculate traffic conditions and times at city intersections. Then time was more efficient. Brandt said that one of the company's AI research groups was able to accurately calculate and collect this data. and train the model to optimize inefficient intersections.

Google has run a pilot at four locations in Israel to date. It is in partnership with Haifa Municipality, Beer-Sheva and Israel National Roads Company, the company said. "Fuel lag and junctions have been reduced by 10 to 20 percent." So far, Google hasn't released any details. about the average daily traffic at those intersections. Although the video clip from the event shows a rather busy crossroads. The company has yet to explain how AI will work with current systems and lights around specific intersections.

“It's just getting started,” Brandt said, “but with these encouraging results We are starting a new pilot in Rio de Janeiro. and talking to other cities around the world.” Although we are still at least several years away from having AI manage our traffic intersections, But this is one step towards the vision of a fully smart city that the industry has been working on for years.

The idea of ​​having AI decide when to stop or go may seem unsettling and potentially risky. But the goal of improving traffic light efficiency is worth it. Hopefully with rigorous testing and safety measures. We may be able to significantly reduce the amount of fuel consumption and exhaust emissions.
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