Patent granted for University collaboration on urban traffic management using AI
A patent has been granted for a new traffic management system created in collaboration with University of Huddersfield artificial intelligence experts.
Professor of Artificial Intelligence Mauro Vallati and the AI4UTMC research team, including Dr Rongge Guo, Saumya Bhatnagar, and Dr Francesco Percassi, have been working with Simplifai Systems on the use of artificial intelligence to help reduce congestion and air pollution.
The system they have created together has already been successfully trialled on one busy route in Huddersfield, but the patent approval is key to progressing their innovation further.
Simplifai, based at the University’s 3M Buckley Innovation Centre alongside the campus, was created through a collaboration between the University of Huddersfield’s research centre which encompasses AI, now known as the Centre for Autonomous and Intelligent Systems.
The collaboration has already begun transforming traffic flow on roads through a new form of smart urban traffic management using artificial intelligence.
Professor Mauro Vallati speaks about his work with Huddersfield firm Simplifai to create a traffic management system utilising artificial intelligence.
Professor Vallati explained that the system they have created builds on the traffic authority’s existing data and can allow simulations to take place ahead of a big local event, for example.
He said: “What we are doing is designing AI solutions for dealing with traffic issues, optimising traffic signals in order to reduce congestion and pollution.
“This will improve the quality of life for people living in urban areas, as well as reducing journey times for people travelling to work in the morning and coming back home in the evening.
“For example, an operator can set the objective to move traffic through the corridor as fast as possible within speed limits, to avoid congestion. The system then creates traffic signal strategies, telling each junction how long each signal should be on green in order to maximise movements.”
The AI technology is able to access existing information on congestion, traffic lights, bus movements, incidents and air quality to generate real-time strategies to solve traffic control issues.
Professor Mauro Vallati
AI professor in the Department of Computer Science
Research group leader for the Centre for Autonomous and Intelligent Systems. He is also a UKRI Future Leaders Fellow, working on Artificial Intelligence for Urban Traffic Management and Control.
The system works by adjusting traffic light timings and can alleviate congestion hot spots, improve the management of traffic around sporting events, concerts, roadworks or traffic incidents, as well as manage traffic to reduce air pollution.
He added that they had successfully trialled the system on the busy Wakefield Road in Huddersfield town centre, after a Muse concert in June, which led to free-flowing traffic and no congestion on the one route they controlled.
In April 2023 it was announced that Hull City Council had awarded a contract to Simplifai to use their AI system to improve traffic flow in and around Hull in a two-year trial as part of a government-funded traffic signals project.
Going forward the team hopes to roll their smart system out to other towns and cities, including the whole of West Yorkshire.