Skip to main content

University of Birmingham’s sensor wins Intelligent Infrastructure Challenge

University of Birmingham’s road surface temperature sensor which uses infrared thermometry will be adopted on the UK’s road and motorway network following a national award at the Highways UK Intelligent Infrastructure Challenge 2017. The judges at the ceremony believe that deploying the sensor network could have an immediate impact on their ability to better control gritting routines in winter. Developed by Lee Chapman, professor of Climate Resilience at the University, the Wintersense sensors are
November 24, 2017 Read time: 2 mins
University of Birmingham’s road surface temperature sensor which uses infrared thermometry will be adopted on the UK’s road and motorway network following a national award at the Highways UK Intelligent Infrastructure Challenge 2017. The judges at the ceremony believe that deploying the sensor network could have an immediate impact on their ability to better control gritting routines in winter. 

Developed by Lee Chapman, professor of Climate Resilience at the University, the Wintersense sensors are Internet of Things enabled and use low power communications which aim to provide a real-time measurement of road surface temperature that will be used to direct gritting lorries to priority areas.

The panel of judges included representatives from Highways England, Transport Scotland, England’s Economic Heartland and Transport for the North.

During the winter months, highways maintenance companies dispatch fleets of gritting lorries which aim to present or mitigate the impact of black ice formation on motorways and A roads. In harsh winters, the routing of gritting lorries is prioritised to ensure optimal road safety. 

Lee Chapman, said: “The key issue in this prioritisation is having good spatial resolution on observation of road surface conditions.  Our sensors are an order of magnitude cheaper than existing solutions, and light enough to be mounted on any lamp post, gantry or road sign, which means a dense network of sensors can be rapidly deployed along a road network to provide a highly granular picture of road surface conditions.” 

Related Content

  • ITS solutions to keep truck traffic moving
    June 8, 2015
    David Crawford reviews freight management initiatives. Managing truck traffic to minimise its environmental impacts, without adversely impacting on its critical economic role, continues to drive ITS-based solutions in both urban and interurban contexts.
  • Milano Serravalle and Iris agree road monitoring contract
    June 21, 2024
    AI and machine learning technology can create automatic work orders for maintenance crews
  • Arup report reveals the future of highways
    December 3, 2014
    Future highways will be made from self-healing, glow-in-the-dark materials and will be governed by sophisticated technologies that communicate with cars, road infrastructure and GPS systems, according to the Future of Highways report from global engineering and design consultancy, Arup.
  • Cognitive Technologies to develop autonomous tram in Russia
    February 14, 2019
    Cognitive Technologies has joined forces with Russian manufacturer PC Transport Systems to deploy an autonomous tram on the streets of Moscow by 2022. Cognitive says that its simplified system means autonomous trams will appear on public roads much earlier than self-driving cars. The company claims its system will detect vehicle and other trams, traffic lights, pedestrians, tram and bus stops, railway and switches and obstacles. Also, the technology will allow the tram to stop in front of obstacles a