RSI stands for Road Status Information and is a new type of service where a number of different sources of information work together to make current road maintenance more efficient. In order to assess future road surface conditions and relevant measures Trafikverket and its subcontractors now use weather services with forecast, satellite and radar pictures together with RWIS (Road Weather Information System).

Ongoing RSI projects contain a number of new sources of information in order to increase the possibility of improved forecast information as well as follow-up of measures taken. RSI can be described as an advanced decision making basis and follow-up system with the aim of improving road climate and at the same time use less resources.

RSI in short

The RSI project is a demonstrator, i.e. a pre-commercial project aiming to:

  • Show how the RSI technique can be applied in various useful ways
  • Show how a commercial implementation can be designed
  • Show how it is possible to create suitable conditions for an open procurement of the technique

More sources of information give greater precision

The project contains a number of new sources of information, such as GIS information (digital map systems) and Floating Car Data, i.e. digital car information which has been depersonalised and which gives data such as friction, temperature and much more. All incoming data are assessed in a climate model and processed in a climate interpreter, which takes into account all accessible information, both in a real-time and in a prognosis mode. The different sources of information are described below.

Improved real-time and forecast information

For the user who makes daily decisions about different measures the possibilities of greater precision are increased, both when it comes to where the measure should be taken and what type of measure should be taken. In the RSI project the user will have two different types of modes – one real-time mode for road surface conditions and current weather and one forecast mode for future measures where all data are integrated and interpreted by the climate model and presented to the user. This can be illustrated by the pictures below.


Skärmavbild 2014-06-10 kl. 20.41.40Mockup for how real-time information may look to the user. The figure above shows real-time information on any near-misses due to slippery road conditions – and the chart to the right shows the total number of near-misses during the time period. (Click on the picture to enlarge.)



Skärmavbild 2014-06-10 kl. 20.44.30Mockup for how a presentation may look to the user in prognosis mode for upcoming measures – route by route in the map to the left and “total completed” or “total needed” for the whole of the service area in the chart to the right.
(Click on the picture to enlarge.)



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