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Klimator - Version RCD -Predictive Data Software 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.