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.

@realitista@lemm.ee · 2 months ago

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.

@realitista@lemm.ee · 2 months ago

I would be happy for sensors at traffic lights that detect whether cars are there or not. I don’t consider that to be meaningful surveillance.

@CosmoNova@lemmy.world · 2 months ago

But they already have sensors. That‘s not what China differentiates from the rest here.

@realitista@lemm.ee · 2 months ago

Did you read the article? Standard traffic cameras or sensors are all you need to implement this. And yes, most places have the technology already in place to do most of it. You just need to add the part to network them and control the lights.

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.

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.

Big-data empowered traffic signal control could reduce urban carbon emission - Nature Communications

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