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 · 20 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.

@deltamental@lemmy.world · 19 days ago

Yes, and such intelligent systems can also optimize for pedestrian traffic, reducing the time waiting for a walk light, monitor bike lane usage, track dangerous intersections, improve emergency response times, prioritize buses and trams, etc. It’s good for people to be gathering this data and trying to make things better.

@DrunkEngineer@lemmy.world · 19 days ago

Yes, and such intelligent systems can also optimize for pedestrian traffic,

In the US, these types of “intelligent” systems almost always degrade pedestrian traffic quite severely.

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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