Alphabet-owned Waymo and Waze announced Thursday a data-sharing pilot program that will funnel pothole data collected by robotaxis to a free Waze platform designed for cities. Any city or state where Waymo operates will be able to access that data as the program expands.
How the pilot works
Waymo robotaxis are equipped with cameras, lidar, radar, and other sensors that collect data on potholes and roadway hazards. The pilot combines this automated detection with Waze’s mapping platform to distribute pothole information to cities and app users. Waze users in participating areas can verify pothole locations to ensure accuracy.
The program builds on existing Waze functionality. Users have already been able to report potholes through the app; the pilot aims to augment and expand that reporting by adding machine-collected data from robotaxis and make the information readily available to cities.
Initial rollout scope
The pilot will focus on five initial markets: Austin, Atlanta, Los Angeles, Phoenix, and the San Francisco Bay Area. Waymo has already identified approximately 500 potholes in these areas. Waymo is currently operating commercially in 11 cities and testing in additional locations. The partnership is expected to expand to more cities over time.
Data access and verification
Cities will receive pothole data through the Waze platform, while anyone with the Waze app in participating cities will also have access to the data. Waze users can help verify that pothole locations are accurate, creating a feedback loop that combines automated sensor detection with human confirmation. This verification mechanism helps ensure data quality before information is shared with municipal infrastructure teams.
Broader implications for infrastructure data
Other companies use sensors in vehicles or phones to track traffic patterns and other information that can be shared or sold. Waymo appears to be the first company to use robotaxis specifically for pothole detection and sharing through a mapping platform. The pilot demonstrates how autonomous fleets could contribute to municipal maintenance workflows beyond their primary navigation function. The data pipeline—from robotaxi sensing through pothole identification, data sharing to cities, and optional user verification—represents a potential model for how autonomous vehicles could support infrastructure management at scale.
Source: TechCrunch