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Real-Time Bridge Condition and Rating System Demonstration

Active
Federal

Contract Overview

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The Federal Railroad Administration within the Department of Transportation is seeking a Real-Time Bridge Condition and Rating System Demonstration to enhance the safety and monitoring of the U.S. railroad network. This initiative aims to leverage advancements in sensor design, edge computing, and machine learning to improve the accuracy and timeliness of bridge condition assessments and load ratings, ensuring better compliance with 49 CFR Part 237 regulations. The project involves the development and demonstration of prototype technology on a diverse set of in-service bridges to advance industry standards for inspection techniques and data management. This forecast, associated with NAICS code 541715, is managed by the Office of Research and Development to modernize how railroad bridge safety is evaluated and maintained across the national network.

General Info

FRA seeks a real-time bridge monitoring system using sensors and machine learning.

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Not specified

Set-Aside

NONE

Documents

0

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Timeline

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Organization & Contact Information

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AgencyDepartment of Transportation → Federal Railroad Administration (FRA)
Contacts2 people available
OfficeN/A
Office AddressN/A
Contacts
Jennifer Wilsnack

Full Description

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The U.S. railroad network includes tens of thousands of bridges. Each individual railroad in the nation is responsible for ensuring the safety of these bridges per the Federal regulations contained in 49 CFR Part 237. The Federal Railroad Administration’s (FRA) Office of Railroad Safety is tasked with ensuring compliance with these regulations and, in parallel, the Office of Research and Development is tasked with advancing the state of knowledge and technology regarding railroad bridge inspection technology, inspection techniques, and data management. With recent advances in sensor design, edge computing, and machine learning technologies there is an opportunity to improve the accuracy and timeliness of railroad bridge condition assessments and load ratings. The demonstration of this new prototype technology on a varied set of in-service bridges will advance the state of the art in the bridge inspection industry.

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