Sponsors (6)
The bill encourages data-driven targeting and evaluation of road-safety investments to improve outcomes and accountability, but it raises privacy, implementation cost, misallocation, and cybersecurity risks that will need active mitigation.
Drivers and road users will benefit because state and local transportation agencies can use predictive analytics and telematics to identify high‑risk roadway segments and target safety investments more effectively.
Taxpayers and drivers will likely face lower privacy risk and greater trust in safety data use because DOT must issue guidance on anonymization, PII protection, and validation within one year.
Taxpayers will get better accountability, since authorizing evaluation of project effectiveness lets states measure crash, injury, and fatality reductions from HSIP investments.
Drivers and taxpayers face increased privacy risks if anonymization and security practices fail when telematics and predictive analytics are used.
State and local governments and taxpayers may incur new costs for procurement, data integration, and staff training to implement and validate advanced safety data systems.
Drivers and local authorities risk misallocation of safety funds if predictive models misidentify high‑risk areas without robust validation, potentially diverting resources from more effective projects.
Based on analysis of 2 sections of legislative text.
Clarifies federal law to authorize use of predictive analytics, telematics, and safety data tools in highway and freight safety programs and requires DOT guidance on privacy, security, and validation within one year.
Official title: To amend title 23, United States Code, to allow recipients of certain grants to improve highway safety efforts through the integration of predictive data analytics, telematics, and other advanced technologies, and for other purposes.
Introduced December 18, 2025 by Tracey Mann · Last progress December 18, 2025
Authorizes and encourages the Department of Transportation and its modal administrations to develop, acquire, deploy, and use safety data systems and predictive tools—like predictive analytics and telematics—within existing federal highway safety and freight safety programs to identify high‑risk locations, model risk, and evaluate project effectiveness. Requires DOT to issue guidance within one year on anonymization, data security, personally identifiable information protection, transparency, accountability, and validation of such tools, and directs interagency coordination to promote interoperability and responsible use.