Skip to main content

MDOT uses connected vehicle technology to clear snow and ice

Connected vehicle technology is helping Michigan Department of Transportation (MDOT) clear snow and ice from roadways faster, using GPS-based automatic vehicle location (AVL) devices on its winter road maintenance equipment. These systems report where each truck is, and they gather data from other sensors to report details like atmospheric conditions, camera images, and speed and salt application rates for each vehicle.
January 9, 2017 Read time: 2 mins

Connected vehicle technology is helping Michigan Department of Transportation (MDOT) clear snow and ice from roadways faster, using GPS-based automatic vehicle location (AVL) devices on its winter road maintenance equipment. These systems report where each truck is, and they gather data from other sensors to report details like atmospheric conditions, camera images, and speed and salt application rates for each vehicle.

MDOT feeds that information, plus additional road and weather data and forecasts, into its maintenance decision support system (MDSS), which it uses to better plan for winter storms. It's a powerful combination for managing ploughing and salting operations.

''Monitoring snowplough speeds and material application helps us apply efficient salting practices,'' said Melissa Howe, region support engineer for MDOT's Maintenance Field Services Section. ''Maintenance supervisors can also easily adjust shifts based on the timing of a storm so we have ploughs on the roads precisely when they're needed, adding people proactively rather than reactively.''

MDOT has installed AVL/GPS on all of its ploughs and some county road commissions are also using the technology. With multiple systems in use, MDOT and counties are collectively researching how to expand the deployment of this technology while coordinating and standardising its use.

MDOT says AVL and MDSS have helped reduce salt consumption, contributing to an estimated 2.2 percent increase in efficiency. MDOT spends about US$30 million on salt in an average year, so even modest reductions in salt use save a lot of money. In addition, MDOT operations and maintenance engineers have improved the system interface to show more detail and more accurate locations, and they expect even greater efficiencies as MDOT gains experience with the system.

With cost-savings and safety in mind, MDOT promotes a number of best practices to boost salt use efficiency during winter maintenance. The department is encouraging its drivers to drive slower when possible while applying salt so more stays on the road. MDOT is also investigating new application systems to keep the salt from bouncing out of driving lanes. Other '’sensible salting’' solutions include setting application guidelines for winter conditions, using weather stations to better target areas that will benefit most from salt, and pre-wetting the salt so it sticks to the road and starts working faster.

Related Content

  • MV helps agencies expand mobility options
    November 18, 2021
    Solution aimed at special transport needs integrates with passenger and scheduling software
  • Making the most of Michigan
    January 9, 2018
    Michigan DoT’s Kirk Steudle takes time out from the ITS World Congress in Montreal to talk to Colin Sowman. Thirty years ago, a professional engineer named Kirk Steudle joined Michigan Department of Transportation (MDoT). Today he’s the state transportation director, responsible for more than 16,000km (10,000 miles) of state highways (including 4,000 bridges), some 2,500 employees and a budget of more than $4 billion. We caught up with Steudle during the ITS World Congress in Montreal and asked how he
  • Safeguarding cities against wrong-way drivers
    June 10, 2024
    Thermal imaging and artificial intelligence analytics provide the best path towards preventing deadly auto accidents, explains Stefaan Pinck of Flir
  • Crossing the line: managing traffic across jurisdictions
    June 18, 2024
    The US will eventually have a fully-digitised transportation network, with traffic management devices talking to each other across massive distances. It’s really a question of pain points on the road to full deployment, explains Mark Talbot of Q-Free