Predictive Road Weather Intelligence

RCD: Enabling safer driving in all weather conditions. Cloud-based solution providing actionable insights on current and future road weather, for proactive mobility. 

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Achieve next level safety with Klimator

Never permit perilous road weather to jeopardize the safety or operability of vehicles. Klimator's road weather intelligence is a critical component when connecting the surrounding environment to the vehicle, bridging the gap between nature and innovation. Resulting in proactive AD and ADAS systems and next level of safety.



DaaS Business Model RCD - predictive data for proactive driving

RCD provides predictive data on every road segment for optimal system functionality. As RCD is a cloud-based solution it is integrable to any system wanting to enhance its functionality in hazardous road weather. The data provided can vary depending on application area.


RCD empowers systems to take data-driven decisions at the right time

Klimator’s RCD provides expert road weather forecasts with high precision on any given road network. The solution integrates into any system that benefits from knowing the road weather condition up to 18 hours ahead of time - from the temperature of the road to the probability of a specific segment being slippery. 

0-18h forecast over full road network

25-250 m segments

One global specification

Broad coverage of road network

15 min forecast update

Map agnostic


RCD is made possible by machine learning, ruled-based models and big data

RCD is made possible by combining machine learning, ruled-based algorithms, and vast amounts of real-life road and environment data. Our models and big data enable us to understand the present and predict the future. 

By using any road network and dynamically segmenting it, RCD internally models the road network including its surrounding topography (Road section characteristics). Using a proprietary model and arrangement for collection and processing of live and historical data from different data sources:

  • Stationary data source

  • Dynamic data source

  • Meteorological data source​

RCD algorithms model the current and forecasted road condition down to a road segment resolution of 25 meters per segment. The method is unparalleled as it uses extensive knowledge of the microclimate and the surrounding topography when forecasting the road status.












Most frequently asked questions about RCD


Our base model has global coverage and our enhanced model covers the majority of Europe as well as critical areas in the US. We are continuously expanding our enhanced model coverage. Contact us for more information on the exact areas.

Our models are built and developed on the knowledge basis of road climatology, using a combination of ruled-based algorithms and machine learning to find correlations between road surface, surroundings, and the micro-weather. Vehicle data is not a required input to obtain the necessary and valued output. However, vehicle data can be a useful input in real-time cross-validation, which we often employ when working with OEMs.

We validate in numerous steps, both qualitative and quantitative. The overall approach we employ is out-of-bag cross-validation - which we do on every forecast and for every station, continuously and on the entire road network.  We also employ qualitative validation with laser data for selected road stretches and periods.

With our unparalleled legacy within road climatology research, being the founding entity of the topic, we have know-how no other can contend with.  Important to understand is that we apply our knowledge for our customers to gain a fundamental understanding of the prevailing and future road conditions and not the general weather, which many other market actors sell in sophisticated, but essentially ineffective, packages. 
Our abilities have resulted in a unique set of USPs that we proudly highlight: 
Unique resolution of 25-250m road segments
Full coverage 0-18h forecast over a complete road network 
One global specification 
Broad coverage 
15 min forecast update  
Map agnostic 
Ability to integrate new data sources 
Proactive data instead of reactive data
Data that goes RCD the line of sight - providing critical information at the right time

Accuracy can be determined once the scope of service, requirements, and definition of accuracy is established with OEM.  Also, requirements on accuracy tend to vary depending on the use case. Contact us for more information. 

RCD Test License

Test our RCD data today. Purchase a test license and gain full insight in capabilities, accuracy and usability. 

RCD Test Licenses Request Price Info

One solution for multiple markets


RCD is used as predictive data for  "ADAS (Advanced Driver Assistance Systems)" and AD (Autonomous Driving) – to increase functionality and performance – allowing the driver and the vehicle to plan and act proactively for the safest and best possible driving experience. Most common use cases:

  • Increased driver information​

  • Enhanced ADAS functionalities​

  • Safe and scalable AD​

  • Optimization

Smart City  

Cities connect large amounts of people in dense areas through the invention of roads and smart transport solutions. Cities must function and flow efficiently and effectively to avoid disorder. When a city experiences disorder due to changed weather conditions,  huge monetary losses are often the consequence. People end up late for work,  production and deliveries fail due to a stand-still, and the police-and response force is hugely limited. Klimator provides RCD to smart cities that want to avoid such disorders. 

With RCD our customers access tools and data so they can plan, act and alert to minimize the impact of such hazardous road weather, saving resources, time and lives. 

RCD is massively useful to airports, traffic management operators, winter maintenance contractors, logistics companies as well as pedestrians and bikers. Read more about how we provide solutions and value to smart cities under our Klimator x Smart City page.

Digital Transformation with Klimator

Check out our research projects and how we integrate our solutions into markets advancing their digital transformation.

Research Projects

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