Uber will work with Carnegie Mellon University’s Traffic21 Institute to use the data. Pittsburgh Mayor Bill Peduto said in a statement the data and collaborative effort will make the city’s streets safer and help the Department of Mobility and Infrastructure plan for the future.

Sean Qian, a researcher at the Traffic21 Institute and an assistant professor of civil and environmental engineering at CMU, said the data will help assess area traffic and the reliability and vulnerability of its traffic systems.

“We can discern what causes bottlenecks and when they are likely to happen, so the city can allocate their resources to where they are most needed,” Qian said in a statement. “Then in real time, we can predict travel time for up to 60 minutes for the large-scale network.”
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