Automated vehicle technology continues to advance rapidly, expanding its ability to operate across increasingly complex environments, from work zones to weather-impacted roadways. Yet despite progress in vehicle sensing and artificial intelligence, weather remains one of the most challenging obstacles to widespread automated vehicle deployment.
Rain, snow, fog, ice, blowing dust, hail, and rapidly changing pavement conditions can significantly impact a vehicle’s ability to perceive and interpret its surroundings. While Automated Driving Systems continue to expand the Operational Design Domains (ODDs) in which they can safely operate, industry leaders increasingly recognize that onboard sensing alone cannot solve every weather-related challenge.
Instead, the future of all-weather automated driving will require a collaborative approach that combines vehicle intelligence, public-sector transportation data, public/private weather forecasting services, and transportation digital infrastructure.
Why is Weather Intelligence Important for Automated Vehicles?
Why Is Weather Intelligence Important for Automated Vehicles?Automated vehicles depend heavily on onboard sensors such as cameras, radar, lidar, and other perception technologies. These systems are the foundation of an automated vehicle’s ability to understand and navigate its environment.
Paragraph locked by Shanna McMullen
However, adverse weather can degrade sensor performance in ways that are difficult to overcome with vehicle technology alone. Snow-covered lane markings, heavy precipitation, reduced visibility, and icy pavement conditions create uncertainty that even the most advanced systems must address.
As a result, industry stakeholders are converging around a multi-pronged strategy for weather resilience that includes:
- Vehicle-based sensing and perception systems
- Real-time roadway condition information from transportation agencies
- National Weather Service forecasts and alerts
- Specialized weather intelligence from private-sector providers
- Transportation digital infrastructure capable of sharing trusted information
Rather than relying solely on what the vehicle can detect, automated vehicles increasingly benefit from supplemental information that provides context beyond the range of onboard sensors.
What Weather Information Do Automated Vehicles Actually Need?
One of the most important questions facing the transportation industry today is surprisingly simple:
What specific weather and road condition information do automated vehicles need to operate safely and effectively?
While the answer varies by vehicle type, operating environment, and automation level, common data needs include:
- Pavement conditions
- Surface temperature
- Visibility restrictions
- Precipitation intensity and type
- Wind impacts
- Snow and ice conditions
- Roadway flooding
- Incident-related road condition changes
- Forecasted roadway impacts with quantification (e.g. mild, moderate, extreme)
- Infrastructure Owner Operator (IOO) directed weather-related travel restrictions and impacts
The challenge is not simply generating this information; it is verifying that information is delivered in a format that is timely, accurate, standardized, and useful for automated decision-making. This creates a significant opportunity for transportation agencies and technology partners to better align how weather-related transportation data is collected, managed, and shared.
How Does Combining Public and Private Data Improve Automated Vehicle Performance?
Historically, weather information has been produced and distributed through a combination of public and private-sector organizations. For automated vehicles, both sources provide unique value.
Public Sector Contributions
Transportation agencies operate extensive networks of roadside sensors, road weather information systems (RWIS), maintenance systems, traffic management centers, and traveler information services. Agencies also maintain direct knowledge of roadway operations, including:
- Maintenance activities
- Snow removal operations
- Temporary roadway restrictions
- Traffic conditions
- Infrastructure impacts
State DOTs and local agencies serve as authoritative sources for many operational roadway conditions that can directly influence vehicle performance. The National Weather Service, meanwhile, provides broad-scale weather forecasting, watches, warnings, and decision-support services that form the foundation of many transportation weather applications.
Private Sector Contributions
Private weather providers often add value through enhanced forecasting capabilities, specialized road weather models, route-specific analytics, and customized weather intelligence products. These providers frequently integrate numerous data sources, apply proprietary modeling approaches, and deliver highly tailored products designed to support operational decision-making. For automated vehicle developers, the combination of public-sector operational awareness and private-sector weather intelligence may provide a more complete picture than either source could deliver independently.
What Role Does Transportation Digital Infrastructure Play in Integrating Weather and Transportation Data?
As transportation systems become increasingly connected, digital infrastructure is emerging as the mechanism that enables these diverse data sources to work together. Transportation digital infrastructure provides the framework for integrating and exchanging information across:
- State DOTs
- Local agencies
- Weather providers
- Automated vehicle developers
- Information service providers
- Traffic management centers
Rather than forcing every stakeholder to create unique one-to-one integrations, digital infrastructure supports standardized data exchange and shared situational awareness across the transportation ecosystem. This interoperability becomes particularly valuable when roadway and weather conditions change rapidly. A connected ecosystem allows agencies and information providers to work from a common operating picture while supporting the diverse information needs of automated vehicles.
How Can Cross-Sector Collaboration Advance All-Weather Automated Vehicle Deployment?
One of the strongest themes emerging from recent industry discussions is the need for greater collaboration between the automated vehicle, transportation, and weather communities.
While all three sectors recognize the importance of weather information, they often approach the issue from different perspectives and priorities:
- Automated vehicle developers focus on vehicle performance and operational requirements.
- Transportation agencies focus on roadway conditions, traveler safety, and system operations.
- Weather professionals focus on observation, forecasting, and impact prediction.
The challenge is that no formal, widely adopted collaboration platform currently exists to consistently bring these groups together to define requirements, establish standards, and coordinate solutions. Closing this communication gap may be one of the most important steps toward accelerating all-weather AV deployment.
How Can Automated Vehicles Strengthen Transportation Weather Systems?
While much of today’s conversation focuses on delivering weather information to automated vehicles, there is another equally exciting opportunity: leveraging automated vehicles as weather observation platforms.
Modern vehicles already collect enormous amounts of environmental and operational data through onboard sensors. As automated vehicles become more prevalent, they could serve as distributed networks of mobile weather and road-condition sensors.
Information captured by automated vehicles could potentially help improve:
- Road weather forecasting models
- Traffic management systems
- Maintenance decision support systems
- Traveler information services
- 511 platforms
- Connected vehicle applications
In turn, improved weather intelligence could be shared back to vehicles, creating a continuous feedback loop that benefits the entire transportation ecosystem.
Advancing Automated Vehicles Through Connected Data
The future of automated transportation will depend on more than advances in vehicle technology alone. Success will require a coordinated ecosystem in which vehicles, infrastructure owners, weather providers, and information service providers work together to deliver actionable situational awareness.
Transportation digital infrastructure has a critical role to play in enabling that vision. By connecting roadway operators, weather information providers, and automated vehicle systems through interoperable data-sharing environments, agencies can help ensure that vehicles have access to the information they need when conditions become most challenging.
As automated driving systems continue to evolve, one thing is becoming increasingly clear: the path to all-weather automation will be built not just on smarter vehicles, but on smarter data sharing.
