Google's AI-assisted traffic light optimisation programme is already working in dozens of cities

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Google has shared the first results of its Green Light project, which uses artificial intelligence to optimise traffic lights and reduce emissions from idling cars.

Here's What We Know

Green Light analyses Google Maps data to determine congestion and waiting times at traffic lights. AI models then autonomously adjust their schedules to reduce idling and emissions.

It's all part of Google's goal to help its partners reduce carbon emissions by a gigatonne by 2030. A 2021 pilot test in Israel showed a 10-20 per cent reduction in fuel consumption and delays.

The programme has now reached dozens of cities around the world, including Rio de Janeiro, Manchester and Jakarta. Manchester saw an 18 per cent reduction in emissions.

Google also cited the effectiveness of Maps' routing system in reducing emissions. According to the company, it has helped prevent more than 2.4 million tonnes of carbon emissions. This is equivalent to taking around 500,000 fuel-powered cars off the roads over the course of a year.

Google claims that Green Light is more scalable and cost-effective than alternatives. By 2024, the company plans to cover more cities and reduce stop-and-go traffic by 30 per cent.

Source: Engadget