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.

@[email protected] · 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.

@[email protected] · edit-2 2 months ago

It’s infuriating when a light turns red while only a few of the cars have gone though, makes sense a more intelligent algorithm would be more efficient.

@[email protected] · 2 months ago

I pass like 15 lights on my commute and the amount of time standing still for NO REASON is absolutely infuriating. How much could it possibly cost to add a simple sensor? No cars coming from the sides? Light stays green! But no, it’s all just dumb timers instead…

@[email protected] · 2 months ago

Interestingly, some lights are set up to deliberately slow down speeders. If you are above the speed limit, they turn red, just to slow things back down. Unfortunately, most of the people involved never put cause and effect together.

@[email protected] · 2 months ago

What annoys me is the road to work in the morning actually seems to do the opposite. It’s a 35 or 40mph road, but if you do 40 you’re not gonna make it through without stopping. But if you do 50-60? No stops.

Once again though people don’t pick up on this.

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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