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Identifying and monitoring rockfall- and landslide-prone areas is crucial for effective risk mitigation, as these geohazard events present significant challenges and hazards to railway operations and safety. Current geohazard prediction models do not identify specific areas where an event could...
The main aim of this project was to develop a wheel-rail creep force model that accounts for the effects of third-body layers resulting from the application of a range of top-of-rail (TOR) materials. Initially, researchers carried out experimental assessments of different types of TOR products...
This report summarizes work performed to improve identification of high-profile grade crossings throughout the nation’s railway network. In May 2019 two rail survey vehicles operated under the FRA Office of Safety’s Automated Track Inspection Program were equipped with LiDAR 3D scanner arrays...
The Federal Railroad Administration sponsored a research team from Duke University to study railroad dispatcher workload in association with automation under various scenarios and task demands. The team developed a computational model to help examine, understand, and predict the effects of the...
Railroads with Positive Train Control (PTC) are experiencing increased delays due to communication failures and outages, during which trains are compelled to move at slower speeds while operating in non-PTC fallback mode. The Federal Railroad Administration (FRA) sponsored Decisiontek, LLC to...