No recorded roll-call vote on this bill yet
This bill directs the Federal Railroad Administration to study the potential benefits and challenges of using artificial intelligence-enabled sensors as a safety measure at rail crossings. Sec. 2, Study on AI-enabled sensors at rail crossings: Within one year of enactment, the FRA Administrator, through the Associate Administrator for Railroad Safety, must conduct a study identifying potential benefits and challenges of implementing and using AI-enabled sensors at rail crossings to reduce pedestrian and traffic accidents. The study must include a review of any existing pilot programs and deployments of such sensors, a cost-benefit analysis comparing AI-enabled sensors to other safety measures like grade separations, and identification of best practices. Within 30 days of completing the study, the Administrator must publish the results, best practices, and recommendations on a publicly accessible FRA website for use by federal, state, tribal, and local governmental entities regulating rail crossing safety, and any private entity legally required to maintain safety technology at rail crossings.
Summary of the bill text as introduced in House (May 29, 2025), generated by SecBot from the official bill text; the Library of Congress summary is not yet published.
No amendments offered
No cost estimate or committee report yet
No related bills listed
Official record from Congress.gov, the House Clerk and the Senate; lobbying from Lobbying Disclosure Act filings. Updated Oct 28, 2026.