Can AI fix London’s traffic problems? TfL thinks so, but it means more cameras

London’s AI-powered traffic control system, ‘FUSION’, is also going to be using more data and more computing power to ensure that traffic signals can react more quickly and smartly to help reduce congestion. In addition, TfL is expanding the use of its ‘Vivacity’ cameras, which use AI to try to understand how people get around or through the city and what sort of vehicles they’re using. This will provide more data for other technologies to use. 

TfL says it is working closely with the city’s 32 boroughs on a data-sharing agreement, which will provide access to insights from more than 1,000 cameras, “highlighting the importance of collaboration in shaping London’s future mobility.” It’s also working with them to roll out new infrastructure and technology, such as ‘near miss detection cameras’, to reduce dangers on the road.

This new five-year plan will build on the progress TfL has made in making the roads in the capital safer, with the number of people killed or seriously injured now at the lowest level on record outside the pandemic-affected years. In the coming months TfL is also due to release a new ‘Vision Zero Action Plan 2’ that it promises will strengthen “city-wide efforts to eliminate deaths and serious injuries on London’s roads”. 

The Mayor of London, Sadiq Khan, said: “Congestion is annoying for everyone, and it costs our economy millions of pounds a year. This innovative new strategy will tackle the causes of congestion head on.

“This bold new approach to managing the capital’s streets will ensure they work for everyone: harnessing cutting-edge technology and infrastructure to reduce congestion, keep Londoners safe, and speed up journey times on London’s bus network.”

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