State departments of transportation hold large volumes of data across financial, project, planning, and operations systems, but that information typically lives in disconnected silos. Pulling together the records needed to analyze even a single stretch of roadway — crash history, pavement scores, maintenance — could take hours of manual work, limiting how often and how thoroughly engineers could draw on the full evidence base.
| Year added | 2026 |
|---|---|
| Status as of Spring 2026 | Deployed |
| Primary Agency | Transportation |
| Approach and Solution | Texas built an enterprise data platform on Snowflake, developed around 2022, that links data from more than 30 systems including financial, project development, and planning sources. The linked data supports artificial intelligence (AI) tools, including a large language model, that let staff run cross-system searches in natural language. An engineer examining a specific roadway segment can pull related crash, pavement, and maintenance data in one query rather than assembling it system by system. |
| Tags | |
| Who it Serves | Government staff |
| Area of Impact | Transportation |
| AI Technology Type | Chatbot |
| Level of Human Oversight | Routine use (no human review required) |
The North Carolina Department of Transportation deployed AI-powered traffic signal management software from Flow Labs to 2,500 intersections across the state. The platform draws on GPS data from connected vehicles, applies machine learning to clean datasets and surface anomalies, and consolidates the results into a single interface that traffic controllers can use to optimize signal timing and inform infrastructure planning.
The Oklahoma Department of Transportation (ODOT) is unifying bridge inspection histories, condition reports, and other data in Google BigQuery, with plans to layer Gemini in Looker for plain-language queries. Engineers will be able to ask questions of decades of bridge data in everyday English.
The state built a web-based virtual assistant embedded across RMV pages providing real-time guidance grounded in state-approved content.
San Diego's AI-powered system detects potholes from Google Street View imagery using computer vision models, and cross-references them against existing 311 requests.