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Assisted and autonomous driving
Increase the availability of AV systems in adverse weather with real-time road conditions and forecasts with millimeter-level detail.
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Safer autonomous driving in adverse weather
Every fifth road accident is weather-related. Assisted and autonomous driving systems could prevent many of these accidents, but only if system designers can create systems that operate safely and reliably in adverse weather conditions.
Xweather helps automotive innovators enable AV systems in a broader range of driving conditions by providing probabilities for water, snow, and ice on the road surface. The data provides real-time information for public paved roads, updated at 15-minute intervals, along with a two-hour prediction.
With Xweather, carmakers can expand AV sensing capabilities, improve safety, and increase the availability of their automated systems.
Expand operational limits
Xweather helps the industry safely extend the weather-specific operational design domain of autonomous driving systems. Our driving conditions data improves systems and helps identify routes suitable for autonomous driving.
Improve safety and performance
Vehicle sensors struggle to detect changing weather and road conditions due to limited range and reduced performance in adverse weather, posing safety risks to assisted and autonomous driving systems. Xweather provides real-time road surface and weather data beyond the sensor range and predicts phenomena that vehicle sensors cannot detect. Xweather data serves as a virtual sensor with an infinite range.
Fleet management
Road weather data enables better route planning and operational efficiency by predicting hazardous conditions ahead of time, allowing fleet managers to optimize routes and manage autonomous vehicle deployment more effectively.
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Road weather data expands automated vehicle systems to function reliably in a wide range of driving conditions.
Weather parameters for autonomous driving
Xweather provides access to high-resolution parameters built for advanced applications, all available via a single API endpoint for streamlined development.
- Road weather conditions
Slippery roads affect AV safety, directly impacting traction, braking distances, and vehicle control. Wet, snowy, or icy surfaces require immediate adjustments to driving speeds, following distances, and may trigger transitions to more conservative operational modes or human handover requests. Xweather Road weather data delivers real-time and forecasted probabilistic and layer thickness data on water, snow and ice on the road.
- Wind speed and direction
Wind speed and direction are critical parameters for AV systems, affecting vehicle stability control, trajectory planning, and safe operation of autonomous vehicles, particularly for larger autonomous delivery vehicles and trucks. Xweather reports wind speed and direction at 2 meters altitude, rather than the 10-meter standard wind, and provides probability of winds causing truck blow-overs to support safety assessments for high-profile vehicles.
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- Low visibility
Low-visibility conditions caused by fog, heavy precipitation, or blowing snow severely compromise AV sensor modalities, reducing detection range and object recognition accuracy. Accurate low-visibility data and forecasts enable autonomous systems to make proactive decisions about route selection, operational mode transitions, and whether conditions allow continued autonomous operation.
- Precipitation
Heavy precipitation reduces visibility and impacts road surface conditions, reducing tire traction and increasing stopping distances, which requires adjustments to following distances and speed limits.
- Severe weather
Severe weather events such as lightning, hail, and tornadoes pose critical safety risks to passengers and vehicles and can result in the immediate suspension of autonomous fleet operations. Xweather's severe weather endpoints provide real-time and historical data, along with threat zones for lightning, hail, and tornadoes.
Explore road weather
See road and atmospheric weather conditions for autonomous vehicles along selected routes and areas.
Fort Worth to Phoenix
Fort Worth to Phoenix
Real-time or forecasted weather and road conditions along the I-20 and I-10 corridor from Fort Worth, Texas, to Phoenix, Arizona.
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San Francisco Bay Area
San Francisco Bay Area
Real-time or forecasted weather and road conditions along the route from San Jose, California, to San Francisco, California.
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London, England
Downtown London to Heathrow Airport
Real-time or forecasted weather and road conditions along the route from downtown London to Heathrow Airport.
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Automotive-grade weather partner
Backed by Vaisala's nearly 90 years of weather innovation, 40 years of road weather sensor design, and over 30 years of developing accurate road weather forecasts with safety professionals, Xweather provides the world's most sophisticated road weather data. Many of the world's largest automotive brands already rely on Xweather to improve safety, efficiency, and comfort for drivers and passengers.
Relevant parameters
Xweather delivers precise road and atmospheric weather parameters that increase the availability of AV systems in adverse weather.
Global coverage
Global coverage for atmospheric weather conditions is complemented by complete spatial and temporal coverage of public paved roads in North America, Europe, Japan, South Korea, Australia, and New Zealand.
Flexible delivery
Point-based, route query, or batch model delivery for ultimate flexibility with real-time data updated every 15 minutes, a 24-hour road condition forecast, and a 14-day atmospheric weather forecast.
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Build weather intelligence into your vehicles
From expanding operational limits of AVs to production-grade EV range parameters, Xweather delivers the weather intelligence the industry requires.