Urban congestion is a pressing challenge, driving up emissions and compromising transport efficiency. Advances in big-data collection and processing now enable adaptive traffic signals, offering a promising strategy for congestion mitigation. In our study of China’s 100 most congested cities, big-data empowered adaptive traffic signals reduced peak-hour trip times by 11% and off-peak by 8%, yielding an estimated annual CO₂ reduction of 31.73 million tonnes. Despite an annual implementation cost of US$1.48 billion, societal benefits—including CO₂ reduction, time savings, and fuel efficiency—amount to US$31.82 billion. Widespread adoption will require enhanced data collection and processing systems, underscoring the need for policy and technological development. Our findings highlight the transformative potential of big-data-driven adaptive systems to alleviate congestion and promote urban sustainability. Big-data empowered traffic signal control in China can reduce vehicle trip times, creating potential reduction of 31.73 million tonnes (Mt) of CO2 emissions annually and US$31.8 billion benefits per year.
No they aren’t. They’re saying smarter traffic systems are an improvement over what we have now. I’ve looked in the article and nowhere do they say cars aren’t a problem, or that emissions is down to traffic lights not cars.
I see so many examples on here and on Reddit of people letting perfect be the enemy of good.
Whether we like it or not, cars will be around for a while. It makes no sense to put zero effort into improving efficiency in the meantime. You don’t have to be so all-or-nothing.
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.
And next year the congestion will be the same as before, except with even more cars and even more emissions.
This is equivalent to building another lane on a highway to increase throughput and decrease traffic jams. In the beginning, emissions will be reduced since traffic jams occur less frequently. And then, through induced demand, there’s congestion again.
Improving car throughput directly leads to increased emissions with a small delay.
From the paper:
Increased speeds from adaptive signals may induce additional travel, as people opt to drive more or travel farther, potentially offsetting some congestion benefits. Our models do not fully capture induced demand due to data limitations, but adaptive signaling generally supports higher traffic volumes and smoother flows.
No they aren’t. They’re saying smarter traffic systems are an improvement over what we have now. I’ve looked in the article and nowhere do they say cars aren’t a problem, or that emissions is down to traffic lights not cars.
I see so many examples on here and on Reddit of people letting perfect be the enemy of good.
Whether we like it or not, cars will be around for a while. It makes no sense to put zero effort into improving efficiency in the meantime. You don’t have to be so all-or-nothing.
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.
In the US, these types of “intelligent” systems almost always degrade pedestrian traffic quite severely.
And next year the congestion will be the same as before, except with even more cars and even more emissions.
This is equivalent to building another lane on a highway to increase throughput and decrease traffic jams. In the beginning, emissions will be reduced since traffic jams occur less frequently. And then, through induced demand, there’s congestion again.
Improving car throughput directly leads to increased emissions with a small delay.
From the paper: