Five months after opening up a data platform which details the capital’s cycle lanes and places to park, Transport for London has started to use artificial intelligence in planning a raft of new cycle routes around the city.
The authority has been working with London tech firm Vivacity Labs to install video sensors around the capital which have an inbuilt AI capability to detect different modes of transport, including cycling and walking.
Data collected from the sensors will then be used to assess demand for new cycle routes, although TfL insists that the video captured is processed and discarded within seconds, with no personal data being stored.
Trials at two locations on Millbank that began in 2018 have shown the sensors are up to 98% accurate and provide more in-depth detail than the manual traffic counts on which TfL has traditionally relied on.
The authority is now installing more than 40 new sensors at 20 locations around central London; the sensors can also be linked to traffic signals and control centre systems to provide realtime data to support operations.
TfL director of network management Glynn Barton said: “We work around the clock to keep people on London moving and we’re always looking for innovative new ways of making our roads safer and more efficient.
“New data from trials such as this will be really valuable as we invest and make day-to-day decisions to enable more people to walk and cycle.”