Winter Maintenance Decision Support System

Winter Maintenance Decision Support System (MDSS) helps road authorities, contractors and municipalities make roads safer with proactive working methods and save money due to precautionary winter maintenance actions. The service is suitable for road and airport winter maintenance in any country.

It has been developed based on 20+ years' experience in providing road weather forecasts and services for winter road maintenance. Every customer has their own requirements and needs for the service. That's why Vaisala provides a modular system that can be tailored to include a custom set of features and configured according to specific maintenance requirements. As an option, the road weather information can be delivered as data through API.

With the MDSS, you can standardize all the employees' decision-making methods, regardless of the diverse level of expertise, reducing the risk of human error in difficult situations. Having more time and the best possible information when making winter maintenance decisions allows you to make optimal winter maintenance actions. With the ability to reduce over-maintenance, i.e. rarely playing safe, there is room for cost savings. In addition, with the help of accurate forecasts and comprehensive weather monitoring tools, you are able to execute precautionary maintenance actions (anti-icing) more often, which requires four times fewer chemicals than reacting afterwards (de-icing). Optimal decisions will save both nature and your money.

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Key Benefits

Route-Based Forecasts
The route-based forecasts provide weather information along the roads, not just at station locations. Station based forecasts can be more accurate, but weather station networks are sparse. Route-based forecasts make full use of modern high-resolution weather data. The information given is showing the weather conditions both in the air (e.g. air temperature) and on the road surface level (e.g. icy road).
User-Friendly Interface
Login to the system with your web browser. It gives you instant insights into your maintenance area as the interactive road network map is colored according to selected parameter, like road temperature, road state, or residual salt. Clicking the road segments or road weather stations opens detailed information about the parameter. The graph shows the data from the past to forecasts on a timeline. The user interface is responsive but optimized for Full HD screen size or larger.
As accurate as possible
The road condition forecasts are based on the road weather model, which calculates the energy balance and the amount of water/ice on the road. The main observation data sources for making road weather forecasts are satellites, weather radars, weather stations and road weather stations. In addition, vehicles used as sensors can also provide observational data from between the stations. The model can also use road meta data, such as location of bridges, typical traffic flow, etc. New model runs are usually done every 15-60 minutes, so the latest radar and satellite information can be integrated in the forecasts. Advanced Nowcasting technology fuses radar, satellite and ground-based observations every 15 minutes to create a fresh forecast of the next couple of hours for key markets.

Customer Stories