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Know the road before you reach it
- Predict road surface conditions
- Sub-millimeter surface detail
- 15-minute update interval
Know the road before you reach it
Rain, temperature, snow, and ice can transform surface conditions faster than a vehicle's sensors can detect them. Predicting changes gives automotive systems a critical advantage: knowing what lies ahead before they reach it.
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Forecast the road, not just the weather
Weather forecasts describe the atmosphere. Xweather models what those conditions mean for the road surface.
Road weather observations, atmospheric data, road characteristics, and machine learning are combined to predict surface conditions at road level—including water, snow, ice, temperature, and friction.
The result is predictive road intelligence that extends beyond the vehicle's immediate sensor range, giving ADAS, autonomous driving, navigation, and driver-warning systems earlier insight into changing conditions.
- 72 hour
road weather forecast
- 15 min
update interval
- 40 + years
road weather expertise
- 5 + millions
of kilometers of roads modeled across North America, Europe, Japan, South Korea, Australia and New Zealand
40% of Fortune 100 rely on Xweather
Road-specific intelligence
Models how weather affects the road surface, including water, snow, ice, temperature, and friction.
Predictive road conditions
Forecasts conditions beyond the vehicle's immediate sensor range, helping systems anticipate hazards before they arrive.
Ground-truth validated
Road weather models are continuously refined against observations from road weather stations and mobile sensors.
Global road coverage
Millions of kilometers of road coverage, updated every 15 minutes for automotive applications.
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At 06:12, dew turned to frost, and the navigation system rerouted the journey.
Know what the vehicle hasn't seen yet
A vehicle can detect a wet road once it reaches it. Xweather road weather intelligence shows what conditions are developing farther along the route, beyond the vehicle's immediate sensor range.
Forecasts for water film, snow, ice, friction, and visibility give automotive systems time to anticipate conditions before they encounter them.
- Road surface conditions beyond onboard sensor range
- Probability values for water, snow, and ice conditions
- Hydroplaning and other road hazard probabilities
- Forecasts and real-time conditions for navigation and vehicle systems
Purpose-built for automotive systems
Xweather road weather data supports the systems that need to understand not just the weather, but what that weather means for the road and the vehicle.
ADAS and autonomous driving
Predictive road condition, friction, temperature, and visibility data extends perception beyond onboard sensors, helping ADAS and autonomous systems maintain availability as conditions change.
Driver warnings
Location-specific forecasts for slippery roads, reduced visibility, high winds, and other hazards can help systems warn drivers before they encounter dangerous conditions.
Intelligent navigation
Road weather data enables navigation systems to account for changing surface conditions when evaluating routes, supporting weather-aware routing and safer journey planning.
EV range and efficiency
Atmospheric and road surface parameters help model the effects of air density, rolling resistance, road surface state, and cabin climate demand on EV range.
See road weather forecasting in action
Talk to our team about how predictive road weather data can extend vehicle perception and support safer, smarter automotive systems.
- Predictive road surface conditions
- Real-time and forecast road weather data
- Production-ready APIs for automotive systems
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