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

  • Want intelligent transit? Then share data
    March 2, 2022
    How will the US deploy intelligent transit networks that enable connected vehicles? Data sharing is crucial if urban mobility users are to benefit, explains Timothy Menard of Lyt
  • Tollers make way as NextNav muscles into 902-928MHz spectrum
    July 30, 2013
    Toll operators and Progeny trade claim and counter claim about the potential ramifications of operating in the 902-928MHz spectrum, as Jon Masters finds out. Two months after the Federal Communications Commission (FCC) determined that Progeny can start commercial operation of its NextNav location finding service, the dust has begun to settle. The tolling industry has had a chance to reflect on how this may impact its operations, in the knowledge that NextNav will share the 902-928MHz frequency band with RFI
  • New York pioneers online mobile real-time bus tracking
    May 22, 2012
    An unusual technology collaboration. David Crawford investigates Early in January 2012, the New York City Metropolitan Transportation Authority (MTA) rolled out the first borough-wide implementation of its pioneering Bus Time online mobile real-time tracking service. The system allow commuters to track each bus on every route in real-time on the internet, via smartphones and by text messaging to a mobile phone. The MTA chose Staten Island for its first live launch due to it being the only one of the five Ne
  • Automatic signal control to prevent emergency vehicle collisions?
    March 14, 2012
    Field trials under way in Arizona promise eradication of accidents between emergency vehicles at intersections – as part of a national focus on ‘intelligent signal’ infrastructure. Collisions between police cars, ambulances and fire crews as they reach intersections at the same time, with equal priority given by all signals set on red, are as serious as they sound absurd. For emergency teams and those in need of their help, the consequences are dire. The solution could come from application of connected veh