Publikationen

Abstract

Efficient maintenance of the growing rail infrastructure is an important factor in reducing not only costs, but also unexpected service disruptions. To do this, analysts measure rail profiles after various amounts of wear have occurred. Numerical data can be difficult to analyze alone, so the data is often visualized. Current state-of-the-art visualization techniques produce only static images of rail wear, with no interactivity. This limits analysts when trying to determine wear patterns or where maintenance is needed. My prototype uses interactive visualization to provide a more intuitive design that allows dynamic simulation of rail profile wear. There is also a new feature that provides a comparison function. This allows analysts to compare the wear simulation of two rail profiles in the same visualization, making it easier to identify wear patterns.