NSF NCAR | RAL - Prediction & Guidance for Winter Road Maintenance
Channel: NSF NCAR Research Applications Laboratory
Date: 2020-09-28

Maintenance Decision Support System (MDSS®)
Safety & Efficiency: Controlling snow and ice buildup on roadways and runways during winter weather events presents several challenges for winter road-maintenance personnel. Among these challenges is the need to make effective winter maintenance decisions (treatment types, timing, rates, and locations), as these decisions have a considerable impact on roadway safety and efficiency. Additionally, poor decisions can have adverse economic and environmental consequences.In an effort to mitigate the challenges associated with winter maintenance decisions, the Federal Highway Administration (FHWA) Office of Transportation Operations (HOTO) initiated a program in 2001 aimed at developing a winter road Maintenance Decision Support System (MDSS®).

Benefits & Impacts:
Cutting-edge weather & road forecasting to predict pavement conditions
Detailed weather forecasts
Snow & ice control maintenance guidance
Saves state DOTs & airports millions of dollars annually

https://ral.ucar.edu/solutions/benefits/determining-ideal-time-to-treat-winter-roads

https://ral.ucar.edu/solutions/products/maintenance-decision-support-system-mdss

If you're interested in developing an MDSS® project contact:
info@ral.ucar.edu
303.497.8422