Transport for Greater Manchester (TfGM) has partnered with Vivacity Labs to install 100 AI-powered sensors across Manchester to collate active travel data.
As part of the city’s latest investment in cycling and walking infrastructure, the sensors will capture anonymous data in real-time to help assess trends on key roads and junctions.
The project aims to give TfGM insight into how current active travel schemes, such as segregated cycling and walking routes and priority areas, are being used, while also supporting the planning and implementation of future schemes.
TfGM programme director for cycling and walking, Richard Nickson, said: “Giving as many people as possible access to convenient, safe and enjoyable forms of active travel will help us to build on the increases in walking and cycling we have seen during the pandemic.
“We’ve already made great progress this year in delivering the UK’s largest cycling and walking network and have many more schemes in the pipeline as we look to give people a genuine alternative to the car, reduce congestion and help improve air quality.”
The sensors will join the existing ‘Smart Junctions’, also installed and managed by Vivacity, currently in operation. This will create a network for unparalleled travel data insight in the city. Further installations of the sensors are expected as the programme continues to be rolled out.
Vivacity’s sensors use artificial intelligence and machine learning to capture anonymous traffic counts in real-time across a selected ‘count line’. These counts can show the interactions between pedestrians, cyclists and cars, for example, and provide insights on factors such as number, pathways and speed. The data is completely anonymised and presents no privacy or personal data risk.
Mark Nicholson, CEO of Vivacity Labs, said: “Greater Manchester is investing heavily into its cycling and walking network, and we’re delighted to be progressing our relationship with Transport for Greater Manchester to provide data insights into cycling and walking on a new scale.”
“The datasets will enable TfGM to understand how active travel users are interacting with schemes and evaluate their effectiveness in facilitating walking and cycling.
“As we adapt to life without restrictions, offering smart, safe and sustainable ways to travel is becoming all the more important, and we look forward to continuing our partnership in achieving this.”
