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

  • ITF diagnoses South Asia’s breathing difficulties
    August 26, 2022
    One of the world’s fastest-growing regions faces major transport sector decisions if it is to avoid spiralling emissions problems in coming decades. Alan Dron takes a look at a new report on Asia from the International Transport Forum
  • UK government invests £7m to boost cycle safety
    February 27, 2018
    The UK government will invest £7m ($5m) in cycling projects to improve road safety and create more bike-friendly areas that encourage more people to cycle as part of everyday journeys. It is part of the Department of Transport’s (DoT’s) cycle safety review, which aims to ensure that the country’s roads are as safe as possible for everyone using them. Eight cities, which have already received help from the government to promote cycling, will be able to bid for an additional £6.5m ($4.6m) of funding to
  • Innovation award for Lufft
    November 18, 2015
    Measurement and control technology company Lufft has been names as a winner of the Dr Rudolf Eberle, named after the former Baden-Württemberg Minister of Economics and awarded by the Ministry of Economics. Since 1985, the Baden-Württemberg innovation award has celebrated medium-sized companies in the region who have developed outstanding technological innovations in the fields of industry, trade, and technological services. Lufft’s innovative Marwis mobile road sensor impressed the 12 members of the e
  • Big data and GPS combine to cut emergency response times
    April 2, 2014
    David Crawford looks at technologies for better emergency medical service delivery. Emergency medical services (EMS) play key roles in transporting, or bringing treatment to, patients who become ill through medical emergencies or are injured in road traffic accidents (RTAs). But awareness has been rising steadily, in the US and elsewhere, of the extent to which EMS can generate their own emergencies. The most common cause is vehicles causing or becoming involved in RTAs, as a result of driving fast under pr