Cycle Lanes in Sutton and Kingston to be Analysed by AI
Sutton and Kingston Councils to analyse cycle lanes using AI technology.
18:13 04 June 2021
Sutton and Kingston Council has recently announced plans to use artificial intelligence to understand how cycle lanes across the boroughs are used. The data gathered will be used for the possible expansion of the borough's cycling infrastructure.
The scheme will see the installation of sensors across Sutton and Kingston designed to gather useful information such as the number of cyclists using main roads and cycle lanes and the number of unauthorised vehicles illegally using the spaces.
The news follows the council's announcement of its partnership with UK-based transport company Vivacity Labs to help improve active travel insight and the safety of high footfall areas based on data on different transport modes and movement patterns.
Councillor Manuel Abellan, Chair of the Environment & Sustainable Transport Committee at Sutton Council, said: “The council recognises the need to reduce the amount of private car use and to promote active travel.
“By using this innovative technology, the council can learn more and gain better insights into the use of its cycle lanes. This will enable us to identify opportunities to reduce carbon dioxide emissions and make progress towards becoming carbon neutral, tackling the climate emergency and being a green borough.”
Councillor Tim Cobbett, Deputy Leader at Kingston Council, said: “We are committed to a greener future by developing sustainable transport schemes and cutting-edge initiatives so Kingston can become carbon neutral by 2038.
“More accurate data can help us with that goal, allowing us to create even better spaces for cyclists and pedestrians.
“The more we know about how our spaces are currently used, and how many journeys are made using different methods of transport, the better our work can be targeted and removing barriers to active travel and ensuring our infrastructure for walking and cycling is targeted where it is needed most and this project will help us to do that.”