Source record

NHTSA National Center for Statistics and Analysis. State Challenges to Improving Traffic Safety Coordination. DOT HS 813 486

Method: Programme analysis
Sample: Assessment data 2018–2022
Collected: 2023-08-01

NHTSA analysis of state traffic records assessment data from 2018 to 2022, finding citation and adjudication systems furthest from the ideal and data integration and quality control the most frequently cited challenges. It did not re-compute percentage compliance rates on a basis comparable to GAO-10-454.

A Framework for Trustworthy Deployment: Governance, Human-Automation Teaming, and a Phased Implementation Roadmap for AI in Track Base Management

When the Model Is Wrong: Risks, Hazards, and Failure Modes of AI in Safety-Critical Track Inspection

The Economics of Knowing: Predictive Maintenance, Degradation Forecasting, and the Asset Value Case for Substructure AI

A Framework for Trustworthy Deployment: Governance, Human-Automation Teaming, and a Phased Implementation Roadmap for AI in Track Base Management

When the Model Is Wrong: Risks, Hazards, and Failure Modes of AI in Safety-Critical Track Inspection

The Economics of Knowing: Predictive Maintenance, Degradation Forecasting, and the Asset Value Case for Substructure AI

A Framework for Trustworthy Deployment: Governance, Human-Automation Teaming, and a Phased Implementation Roadmap for AI in Track Base Management

When the Model Is Wrong: Risks, Hazards, and Failure Modes of AI in Safety-Critical Track Inspection

The Economics of Knowing: Predictive Maintenance, Degradation Forecasting, and the Asset Value Case for Substructure AI

A Framework for Trustworthy Deployment: Governance, Human-Automation Teaming, and a Phased Implementation Roadmap for AI in Track Base Management

When the Model Is Wrong: Risks, Hazards, and Failure Modes of AI in Safety-Critical Track Inspection

The Economics of Knowing: Predictive Maintenance, Degradation Forecasting, and the Asset Value Case for Substructure AI