A traffic system powered by artificial intelligence (AI) has reduced delays and sped up bus journeys in the North East of England. A virtual replica of the Tees Valley road network, called a “digital twin”, has been created to collect traffic data and uses AI to predict where problems will occur.

The first phase of the pilot project reported a reduction in delays of 13.7% over six months, says the BBC.

Tees Valley Combined Authority’s digital transport delivery manager Sean Fryer said:

“It allows us to mitigate against the everyday occurrences that would usually frustrate people trying to get home or to work.”

The system collects data from sources including GPS-tracked buses and roadside sensors.

“It also provides an automated response across 11 hotspots in the region,” said Fryer.

The leader of Darlington Council and transport portfolio holder at Tees Valley Combined Authority (TVCA), Labour’s Stephen Harker, said there was human oversight in the system but the AI had shown it could make quicker, better decisions.

“If traffic is held up somewhere it is aware of that, and it can look at the cycle of traffic lights and adjust them,” he said.

“They’re finding that the software is coming up with better solutions than the humans can, it does it far more quickly and has been quite clever about where it thinks transport should be diverted.”

The next phases of the Tees Valley Traffic Digital Twin Project will add new routes and data, including freight, active travel and environmental information.

(Picture: Yay Images)