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 · 3 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.

shalafi@lemmy.world · 3 days ago

In my little Southern US town the lights seems to work logically and traffic flows nicely, noticeably so. I’m never sitting at a light screaming, “Oh FFS turn!” or “Why did that light change and there are no cars?!”

Traffic only gets a bit thick on the main road in late afternoons. Not much to be done there, it’s a major east-west thoroughfare connecting several towns.

Have no idea how they’re doing this. Sensors I’m guessing? Seems like we’re too poor for fancy civil engineering like that and I’m sure we can’t afford what the article talks about.

Anyone know how that might work?

yunxiaoli@sh.itjust.works · 2 days ago

Sensors on a main road and well set timers after a few months of data can do wonders and be extremely low cost, but it requires some upfront spending and enough public will to put up with bad traffic until everything is tuned.

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.

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