Amherst Introduces AI to Improve Traffic Flow

Intersection of Maple Rd and Flint Rd in Amherst, N.Y.

Amherst, N.Y. (WBEN) - Amherst has begun using artificial intelligence to monitor and improve traffic flow.

"Over the next two years, we are going to be rolling out a new capital project at each one of our 65 intersections using a product called Miovision," said Amherst Town Supervisor Brian Kulpa. It's a 360-degree camera that uses AI to tell signals when to change.  

Early testing is underway at Maple Rd and Flint Rd near the University at Buffalo.

Kulpa said they are starting with town intersections. "We won't be able to touch state arterials such as Sheridan Drive, Niagara Falls Boulevard or Main Street. He thinks drivers will see a difference.

"Since the 50's and 60's, traffic signals used weight to trigger a sensor in the ground to change the light. Sometimes those would malfunction. This uses a camera above, so there is no worry about malfunction and it can see further down the street. Plus, the signals can 'talk' to each other. They go through a better timing sequence and can look at current conditions," he said. 

AI technology helping with traffic flow in Amherst. @Brian_Kulpa tells WBEN the town is testing Miovision at Maple & Flint and soon at 65 intersections.

— WBEN NewsRadio 930AM (@NewsRadio930) February 4, 2020

Amherst is not the only municipality testing this. The Town of Tonawanda is also implementing the technology on Brighton Rd.  

Kulpa said town engineers are still working out software issues, but they expect to eventually move forward with a bond issue and awarding of a bid.  

"I've seen it at different trade shows," said Kulpa. "When we look at adaptive technology, this stands out. It's something that I'm really looking forward to seeing around town."