Earlier this year, Sutton and Kingston Councils announced a partnership with Viva to help improve active transportation insight and the safety of high footfall areas. The councils, as part of the South London Partnership’s InnOvaTe Project, will use our technology to provide anonymous data on different transport modes and movement patterns. Viva sensors will beRead More
We’re delighted to work on this project with Richmond Council where our sensors have been installed to provide insights into active transportation and pedestrian movements, to inform planning to improve the road network and urban environment, and help make the borough smarter, safer and more sustainable. We will be working with the Council to anonymouslyRead More
TfGM chooses Viva to deploy AI-controlled smart junctions to optimize traffic networks. There has been a nation-wide boom in the number of cyclists since the Covid-19 pandemic took hold. With people avoiding public transport when getting around towns and cities, and the daily commute changing for many in the longer term, innovation in transportation isRead More
This Smart Junctions project in collaboration with Immense Simulations and Transport for Greater Manchester, was created with the aim of revolutionising traffic signal control. Viva apply modern technology and artificial intelligence to better manage traffic networks. We all understand how frustrating it can be to sit at a red traffic light when there is noRead More
Viva are delighted to win the ITS (UK) – Intelligent Transport Systems Award for Innovative Use of Technology with partners Transport for Greater Manchester and Immense for the Smart Junctions project! This initiative explores how machine learning can be used to improve traffic signal control and optimize the road network. This ground-breaking new system will give transport authorities unprecedented abilityRead More
Artificial intelligence (AI)-powered traffic lights will be trialled in Manchester to assess whether they can efficiently reduce pollution and congestion as part of a £30m investment in 5G technology. The project plans to use intelligent sensors to detect speed, path, journey time and queuing data for vehicles, cyclists and pedestrians travelling along the city’s roads. The sensors, running AIRead More