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 · 18 days 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.

@sugar_in_your_tea@sh.itjust.works · 17 days ago

What’s horrible about traffic signal optimization algorithms? This isn’t GenAI, just an algorithm that looks at traffic patterns and optimizes signals to improve flow. There’s nothing dystopian about that.

@AES_Enjoyer@reddthat.com · 17 days ago

The horrible and dystopian part for the comment above yours is the fact that it happens in China, which is ontologically bad and oppressive

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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