Little Vermont Uses Big Data to Predict Bridge Repairs and Traffic Jams

Vermont may be a land of bucolic country roads. It is also a land of big data. State transportation engineers are using artificial intelligence, predictive analytics and even wonkier-sounding neural networks to better understand how roads and bridges might be deteriorating and in need of maintenance.

“It’s going to be key that we use that data to understand, and predict, everything from traffic congestion, to road conditions, to where we need signals,” said John Quinn III, chief information officer for Vermont. “Those types of things will all come from data, I believe.” Quinn is also secretary for the state Agency of Digital Services, formed in 2017, and brings IT operations from various departments under one banner with the goal of modernizing the state’s IT presence.

Author: Skip Descant


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