/roadweather
For essential information on road conditions through a summary index (green, yellow, or red), enabling users to gauge driving safety at a glance.
Road weather data
Driving conditions for connected vehicles
Real-time and forecast road surface conditions for automotive applications, delivered through the Weather API.
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Forecasted road surface conditions, already in production vehicles
Vaisala Xweather provides a weather API that delivers forecasted road surface conditions. This includes dry, wet, slush, snow, and ice classifications, along with road surface temperature and sub-millimeter water, snow, and ice depth. The API returns probability values for each surface condition, giving developers confidence-level data for decision logic in ADAS and driver-warning systems.
This data is already in production use in luxury and premium vehicles, where accurate road condition awareness is critical for safety, comfort, and advanced driver assistance. As vehicle automation and regulatory safety requirements evolve, forecasted road weather is expected to become a foundational input for future vehicle safety standards.
Road weather data is engineered for developer integration into in-vehicle systems, automotive navigation stacks, and mapping and planning engines. Coverage spans millions of kilometers of roads across North America, Europe, Japan, South Korea, Australia, and New Zealand, with primary roads, secondary roads, and bridges modeled separately.
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Water, snow, and ice depth in sub-millimeter level detail
Water
Wet conditions account for nearly three-quarters of all weather-related road accidents. Even a small amount of water on the road surface reduces grip, and the risk of aquaplaning increases rapidly with heavy rainfall.
Identify dry and wet road conditions
Water film thickness
Snow
Ice typically forms on roads when low temperatures turn morning dew into frost or freeze standing water on the pavement. Although ice is less common on roads than water and snow, it is far more dangerous for drivers.
Identify icy road conditions
Ice thickness
Ice
Ice typically forms on roads when low temperatures turn morning dew into frost or freeze standing water on the pavement. Although ice is less common on roads than water and snow, it is far more dangerous for drivers.
Identify icy road conditions
Ice thickness
Road weather endpoints
/roadweather/analytics
For the complete road weather offerings, the Road Weather Analytics endpoint adds water, snow, and ice thickness, hydroplane and turnover probabilities, visibility probabilities, and more.
/roadweather/conditions
For comprehensive road weather insights, including the road surface condition (dry, wet, snow, ice) and road surface temperature.
Sensor-driven road weather modeling
Road weather data is powered by a proprietary network of road weather sensors, high-quality data sources, and algorithms that predict how environmental conditions affect the pavement.
Precipitation, solar radiation, traffic, maintenance activities, and the physical attributes of the road all feed the model.
Machine learning combines these inputs to produce a nowcast that updates every 15 minutes and a 24-hour forecast for longer trips.
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Ground-truth validated data
The road weather model accounts for all processes that add and remove water, snow, and ice from the road surface. Forecasts are continuously refined by validating model output against ground-truth measurements from road weather stations and mobile sensors.
The modeling behind road weather data draws on 85+ years of Vaisala sensor development and more than 30 years of road weather forecasting. Xweather works with top-tier vehicle manufacturers and automotive technology companies worldwide to improve driver safety, comfort, and convenience.
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Millions of kilometers of road covered
Primary and secondary roads across North America, Europe, Japan, South Korea, Australia, and New Zealand.
15-minute update interval
Real-time conditions and forecasts for every public paved road in the coverage area.
30+ years of road weather forecasting
Developed alongside road safety professionals and top-tier vehicle manufacturers worldwide.
Million-kilometer validation dataset
Ground-truth sensor data used to train and validate the road weather model.
Take road weather data for a test drive
RESTful service providing precise road weather data
Example request
Response
Integrations
Integrate road weather into your applications
SDKs and toolkits
Our software development kits for iOS, Android, and JavaScript make it easy to integrate Xweather data into your apps and platforms—with the tools you need to move from prototype to production.
MCP ready (Coming Q2 26)
Integrate road weather data into AI workflows with direct API access through the Xweather MCP server. Query, analyze, and act on road surface conditions for automated decision-making.
MapsGL
Visualize road weather conditions on interactive maps within navigation systems, dashboards, and development environments.
Connect to the Xweather MCP server (Coming Q2)
Build agents that access road weather intelligence through the Xweather MCP server. Real-world road surface conditions integrate directly into AI and LLM workflows.
- Reduce integration friction
- Stay current
- Ship faster
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Visualize road weather conditions
The MapsGL vector mapping platform renders road weather data on interactive maps for dashboard integration, navigation overlay, and development environments. Customizable layers and full branding control.
- Smooth animations
- Full customization
- Integrates with third-party mapping libraries
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Visualize road weather conditions with our mapping libraries
Raster Maps
Raster Maps is a tile-mapping tool for still-image weather visualizations, with 100+ layers compatible with Mapbox, Google Maps, and Leaflet.
Xweather Live
Explore real-time lightning strikes, wildfire boundaries, road weather data, and more in the Xweather browser-based weather app. A live view of what the maps and API can do.
Start building with the Xweather API
Road weather data is included in the Weather API and Maps subscription, with access to all road weather endpoints and high-resolution visuals via Raster Maps and MapsGL.
Frequently asked questions
Surface state (dry, wet, snowy, icy), grip, surface temperature, water film thickness, snow depth, ice thickness, visibility, and probability values for water, snow, and ice presence.