Sponsors (6)
The bill promotes data-driven targeting, evaluation, and federal coordination to improve roadway safety and accountability, but it imposes implementation costs and raises privacy, cybersecurity, and model-reliance risks for state and local agencies and the public.
State and local transportation agencies can use predictive analytics, telematics, and authorized project evaluation to identify high‑risk roadway segments, target safety investments more effectively, and measure crash/injury/fatality reductions, improving roadway safety and accountability for taxpayers and road users.
DOT must issue guidance on anonymization, PII protection, and validation within one year, which can increase public trust and reduce privacy risks associated with collecting and using safety data.
Requiring coordination across DOT components and consultation with DOE and Commerce promotes interoperability and more efficient federal support for safety technologies and data systems, reducing duplication and improving technical consistency for state and local agencies.
State and local agencies and taxpayers may face new procurement, data integration, and staff training costs to implement and validate advanced safety data systems.
Use of telematics and predictive analytics could increase privacy risks for drivers and the public if anonymization and data protection practices fail or are insufficiently enforced.
Expanded data sharing and interoperability across agencies could increase cybersecurity exposure if systems are not properly secured, raising risks to sensitive transportation data and operations.
Based on analysis of 2 sections of legislative text.
Authorizes use of predictive safety data/tools in key federal highway programs and requires DOT guidance on privacy, security, transparency, and validation within one year.
Introduced December 18, 2025 by Tracey Mann · Last progress December 18, 2025
Authorizes and encourages the use of predictive safety data, telematics, and validated analytical tools across several federal highway safety and freight programs to help identify high‑risk locations, model risk, and evaluate project effectiveness. Directs the Department of Transportation to produce binding guidance within one year on anonymization, data security, PII protection, transparency, accountability, and validation of such tools, and to coordinate tool use across DOT components and consult with other federal agencies to promote interoperability and effective deployment.