Articles

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.

Source: govtech.com
Author: Skip Descant

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s