Railroads, Pipelines, and Hazardous Materials Subcommittee, Transportation and Infrastructure Committee
Introduced
In Committee
On Floor
Passed Chamber
Enacted
This bill mandates the Federal Railroad Administration (FRA) to undertake a comprehensive study within one year of its enactment, focusing on the implementation and use of artificial intelligence-enabled sensors at rail crossings. The primary objective is to assess the potential benefits and challenges of these sensors as a safety measure, specifically targeting the reduction of pedestrian and traffic accidents. The study will encompass a review of any existing pilot programs or deployments of such sensors, alongside a thorough cost-benefit analysis comparing AI sensors with other safety enhancements like grade separations. Furthermore, the FRA will be required to identify best practices for the effective deployment and utilization of these AI technologies. Upon completion, the study's results, along with the Administrator's recommendations and best practices, must be published on a publicly accessible website of the FRA's Office of Railroad Safety. This information is intended to guide Federal, State, Tribal, local governmental entities, and private entities legally responsible for maintaining rail crossing safety.
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Timeline
Introduced in House
Referred to the House Committee on Transportation and Infrastructure.
Referred to the Subcommittee on Railroads, Pipelines, and Hazardous Materials.
Introduced in House
Referred to the House Committee on Transportation and Infrastructure.
Referred to the Subcommittee on Railroads, Pipelines, and Hazardous Materials.
Transportation and Public Works
SAFE CROSS Act
USA119th CongressHR-3647| House
| Updated: 5/30/2025
This bill mandates the Federal Railroad Administration (FRA) to undertake a comprehensive study within one year of its enactment, focusing on the implementation and use of artificial intelligence-enabled sensors at rail crossings. The primary objective is to assess the potential benefits and challenges of these sensors as a safety measure, specifically targeting the reduction of pedestrian and traffic accidents. The study will encompass a review of any existing pilot programs or deployments of such sensors, alongside a thorough cost-benefit analysis comparing AI sensors with other safety enhancements like grade separations. Furthermore, the FRA will be required to identify best practices for the effective deployment and utilization of these AI technologies. Upon completion, the study's results, along with the Administrator's recommendations and best practices, must be published on a publicly accessible website of the FRA's Office of Railroad Safety. This information is intended to guide Federal, State, Tribal, local governmental entities, and private entities legally responsible for maintaining rail crossing safety.