Require the Federal Railroad Administration to study AI-enabled sensors at rail crossings for safety. Instruct the publication of study results and best practices online, benefiting governmental and private entities involved in rail crossing safety.
Directs the Administrator of the Federal Railroad Administration to conduct a study on AI-enabled sensors at rail crossings as a safety measure.
Requires the study to review existing pilot programs and deployments of such sensors.
Includes a cost-benefit analysis comparing AI-enabled sensors with other safety measures, such as grade separations.
Identifies best practices for implementing and using AI-enabled sensors at rail crossings.
Instructs the Administrator to publish the study’s results and best practices to a publicly accessible website within 30 days of completion.
Targets the published recommendations for use by federal, state, tribal, and local government entities, as well as private entities responsible for rail crossing safety.
This machine-generated summary is awaiting review by an AGORA editor. Use with caution.
This document has not been enacted or otherwise finalized and is subject to change. This summary is based on a copy of the document collected 2026-02-03 - refer to the official source for the most current version.
Key facts
🏛️ This document has been proposed by the United States Congress, but is not yet enacted.
For authoritative text and metadata, visit the official source.
📜 This document's name is SAFE CROSS Act.
Themes AI risks, applications, governance strategies, and other themes addressed in AGORA documents.
This document has not been enacted or otherwise finalized and is subject to change. This summary is based on a copy of the document collected 2026-02-03 - refer to the official source for the most current version.
Thematic tags are in progress.
Full text
This is an unofficial copy. The document has been
archived and reformatted in plaintext for AGORA. Footnotes, tables, and
similar material may be omitted. For the official text, visit the original source.
This text may be out of date. According to the latest data in AGORA,
this document has been proposed, but is not yet enacted or otherwise
finalized. This text was collected 2026-02-03 and
may have been revised in the meantime. Visit the official source for authoritative text.
A BILL
To direct the Administrator of the Federal Railroad Administration to conduct a study to identify potential benefits and challenges of implementing and using sensors enabled with artificial intelligence as a safety measure at rail crossings, and for other purposes.
Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled,
SECTION 1. Short title.
This Act may be cited as the “Study on AI For Enhanced Crossing Safety Act” or the “SAFE CROSS Act”.
Requires the Federal Railroad Administration to study the potential benefits and challenges of using AI-enabled sensors as a safety measure at rail crossings.
Requires the Federal Railroad Administration to study the potential benefits and challenges of using AI-enabled sensors as a safety measure at rail crossings.
SEC. 2. Study on AI-enabled sensors at rail crossings.
(a) Study.—Not later than 1 year after the date of enactment of this Act, the Administrator of the Federal Railroad Administration, acting through the Associate Administrator for Railroad Safety, shall conduct a study to identify any potential benefits and challenges of implementing and using sensors enabled with artificial intelligence at rail crossings as a safety measure to reduce pedestrian and traffic accidents.
(b) Elements.—The study in subsection (a) shall include the following:
(1) A review by the Administrator of—
(A) any existing pilot program regarding the implementation of sensors enabled with artificial intelligence at rail crossings; and
(B) any deployment of such sensors at rail crossings.
(2) A cost-benefit analysis comparing sensors enabled with artificial intelligence and other safety enhancement measures that may be used at rail crossings, such as grade separations.
(3) Identification by the Administrator of best practices with respect to implementing and using sensors enabled with artificial intelligence at rail crossings.
Requires the Federal Railroad Administration to study the safety benefits and challenges of AI-enabled sensors at rail crossings, including existing deployments, cost-effectiveness, and best practices.
Requires the Federal Railroad Administration to study the safety benefits and challenges of AI-enabled sensors at rail crossings, including existing deployments, cost-effectiveness, and best practices.
(c) Publication.—Not later than 30 days after the date on which the study under subsection (a) is complete, the Administrator shall publish to a publicly accessible website of the Office of Railroad Safety of the Federal Railroad Administration—
(1) the results of the study; and
(2) best practices and recommendations of the Administrator with respect to implementing and using sensors enabled with artificial intelligence at rail crossings for use by—
(A) Federal, State, Tribal, and local governmental entities that regulate rail crossing safety; and
(B) any private entity that is legally required to maintain safety technology at rail crossings.
Requires the Federal Railroad Administration to publicly publish the study results, best practices, and recommendations for implementing AI-enabled sensors at rail crossings.
Requires the Federal Railroad Administration to publicly publish the study results, best practices, and recommendations for implementing AI-enabled sensors at rail crossings.