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A new study found adaptive traffic signals powered by big data reduced peak-hour travel times by 11% in China’s 100 most congested cities – saving 31.73 million tonnes of CO₂ annually.

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A new study found adaptive traffic signals powered by big data reduced peak-hour travel times by 11% in China’s 100 most congested cities – saving 31.73 million tonnes of CO₂ annually.

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[email protected]English • 2 months ago

cross-posted to:
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Big-data empowered traffic signal control could reduce urban carbon emission - Nature Communications

Big-data empowered traffic signal control in China can reduce vehicle trip times, creating potential reduction of 31.73 million tonnes (Mt) of CO2 emissions annually and US$31.8 billion benefits per year.

cross-posted from: https://lemmit.online/post/5292633

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/science by /u/calliope_kekule on 2025-03-01 05:53:17+00:00.

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2 months ago
Maybe they could just try a roundabout? Or even better… Ditching the dead end of car dependency for free public transport?

Because phony “AI” is here to save capital, not the planet.
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  1•2 months ago
  The article mentions specific deterministic algorithms so I don’t think it’s AI in the way youre thinking.

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