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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. (www.nature.com)

submitted 2 weeks ago by [email protected] to c/[email protected]

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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.

(page 2) 23 comments

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[–] [email protected] 2 points 2 weeks ago (2 children)

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?

[–] [email protected] 1 points 2 weeks 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.

[–] [email protected] 1 points 2 weeks ago

Sensors are cheap and have been around for a long time, but I'm going to guess the number one reason is the small part. Fewer cars = less traffic.

I've actually watched a city I visit regularly grow over about 20 years and it went from them having zero traffic to Los Angeles style traffic jams. This is despite their best efforts like making extra wide roads, using roundabouts, etc.

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