Skip to main content

Smart snowplough research

Researchers at the University of Minnesota are working on a method that helps snowploughs determine exactly where slippery patches are and to target those specific areas with their sand-and-salt mixtures.
February 2, 2012 Read time: 2 mins
The sensor system that measures friction is attached to a wheel near the front axle of the plough
Researchers at the 584 University of Minnesota are working on a method that helps snowploughs determine exactly where slippery patches are and to target those specific areas with their sand-and-salt mixtures.

Based on measuring friction coefficients, a sensor system is attached to a wheel near the front axle of the snowplough, and when the sensor filters out vibration ‘noise’ and detects a loss of friction, it sends a signal to the sand-spreading equipment. A quarter of a second later, about the time it takes the applicator to arrive at the ice, the sand starts to be applied.

This automated system yields several benefits, according to researcher Rajesh Rajamani, a professor in the university’s Department of Mechanical Engineering who helped develop the technology along with colleagues Lee Alexander and Gurkan Erdogan.

For one, it will be helpful to know portions of road that tend to get slippery, and by using GPS technology, the 2103 Minnesota Department of Transportation (MnDOT), which is funding the research, could create a database of problem areas.

This smarter snowplough also stands to save a lot of sand and salt. Estimates suggest that Minnesota uses more than 200lb of sand and salt per person each winter, according to Alexander. “It’s just as important to know when to turn the sand off,” he says.

For more information on companies in this article

Related Content

  • What are AVs doing in rural Ohio?
    March 29, 2023
    Autonomous vehicle pilots so far have been typically sighted in urban areas. But researchers in rural regions of Ohio are now trying to find out exactly what benefits they could bring to the countryside
  • Lufft sensors help German smart city
    August 10, 2020
    Using data can increase efficiency. Jerg Theurer of Mhascaro explains how one German town is becoming a smart city – with some help from Lufft sensors in a winter roads project
  • Rekor: solving the data puzzle
    April 19, 2022
    AI can help transport agencies to deal with incidents on the road. Noam Maital of Rekor explains to Adam Hill how marrying up different types of data can be like putting together a 1,000-piece puzzle
  • Volvo initiates cloud-based road warning system
    March 21, 2014
    Volvo Car Group (Volvo Cars), the Swedish Transport Administration (Trafikverket) and the Norwegian Public Roads Administration (Statens Vegvesen) are joining forces in a pilot project in which road friction information from individual cars is shared within a cloud-based system. The pilot uses 50 Volvo cars; when the test car detects an icy or slippery patch of road, the information is transmitted to Volvo Cars’ database via the mobile phone network. An instant warning is transmitted to other vehicles ap