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.

Optional@lemmy.world · 2 months ago

“big data” is not generative AI. They’re different things. Just in case anyone read that as “AI fixes things”.

Artyom@lemm.ee · 2 months ago

I mean, this is also an area where neural networks will improve things. Neural networks are excellent for optimizing data with an extremely large amount of input variables, as is the case here. You don’t need language models, you don’t need to steal all the content on the internet for training. You have analysis tools that will easily validate any solution, so you’re not going to deal with mystery hallucinations.

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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