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Between September 2019 and June 2022, the Federal Railroad Administration (FRA) sponsored a research team from Sharma & Associates to model and test the torsional strength of a passenger car coupling system to understand the performance of coupling systems in train accidents and to enhance...
Detecting poor track conditions before they become safety-critical is essential for improving the safety and efficiency of railroads. To this end, autonomous track inspection technologies are beneficial, since established manual inspection methods are time-consuming and require significant track...
The Federal Railroad Administration (FRA) sponsored MxV Rail to conduct a collision test using both a moving and a stationary three-car consist. The moving consist included an EMD F40 passenger locomotive equipped with crash energy management (CEM) components backed by two M1-series passenger...
From October 2018 to March 2019, the Federal Railroad Administration sponsored Transportation Technology Center, Inc. to conduct a literature review on the methods of measurement and characterization of track geometry. The goal of the review was to summarize the current state of track geometry...
A team from MIT’s Human Systems Laboratory designed the locomotive HUD as a wide field of view augmented reality head-up display (AR-HUD). The technical feasibility of an AR-HUD was assessed through literature review and hardware tests. To study human factors issues, an AR-HUD prototype was...
Crash energy management (CEM) components which can be integrated into the end structure of a locomotive were developed: a push-back coupler and a deformable anti-climber. These components are designed to inhibit override and improve crashworthiness for equipped locomotives in a wide range of...