Eventually, the technology would enable researchers to recommend steps that Beijing might want to take to alleviate or avoid pollution, the article says. For example, the system could determine that restricting some vehicles from roads or closing certain factories temporarily would be the best responses given anticipated levels of particulates.
The artificial intelligence analyzes a variety of factors that contribute to the city’s foul air. These include factory emissions, road congestion and weather, Knight adds. An IBM prototype can deliver accurate pollution forecasts for Beijing up to 72 hours in advance. Eventually, the system would be able to project smog levels 10 days in advance.
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This article originally appeared on Citiscope. Citiscope is a nonprofit news outlet that covers innovations in cities around the world. More at Citiscope.org.