State Traffic Records Integration for National Safety Performance Management
A Common Data Model and National Data Fabric for NHTSA Trend Analysis, State Comparison, Grant Oversight, and Countermeasure Evaluation
In 2023, 40,901 people died and an estimated 2.44 million were injured in motor-vehicle crashes on U.S. roads. Executing the National Roadway Safety Strategy with precision — allocating countermeasures where they will save the most lives, overseeing grant performance, and detecting which interventions work — requires a national performance-management infrastructure built on high-quality, integrated state traffic-safety data.
That infrastructure does not exist. The foundational GAO assessment (GAO-10-454) found the integration performance measure — the degree to which the six state data systems are linked — was met only 13 percent of the time, the weakest dimension by nearly four to one. This paper proposes a national data-integration architecture: a common data model and a National Traffic Safety data fabric.
- In 2023, 40,901 people died and roughly 2.44 million were injured on U.S. roads.
- GAO-10-454 found state data-system integration met performance measures only 13 percent of the time.
- Cross-domain analysis across crash, roadway, driver, vehicle, citation, and injury data is not possible at national scale today.
- The paper proposes a common data model and a National Traffic Safety data fabric.
- The architecture supports NHTSA trend analysis, state comparison, grant oversight, and countermeasure evaluation.
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