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Rail Safety Improvement through Enhanced Understanding of Ballast and Subgrade Interactions
Between April 2021 and April 2023, the Federal Railroad Administration sponsored a research team from The Pennsylvania State University to conduct a study on optimizing tamping maintenance. In this report, researchers examine the impact of various tamping parameters on railway ballast...
Laser Triangulation and Deep Neural Networks for Rail Safety Inspections — Phase 2: Framework for Isolating and Reporting Track Changes
This research builds upon previous FRA-funded studies using the LRAIL 3D laser triangulation scanning system and Deep Convolutional Neural Networks (DCNNs) to identify track health attributes. The focus lies on developing technology-agnostic methodologies for processing LRAIL data, catering to...