An ongoing FRA-sponsored research project at the University of Massachusetts has been exploring the use of fractal analysis of track geometry data for indicating track geometry condition, planning maintenance, and evaluating the cause of substructure-related problems. Results indicate that fractal analysis is able to provide unique numerical values (fractal dimensions) that characterize railway track geometry patterns, can discern different orders of roughness within track geometry data, and is effective for maintenance management by providing independent fractal parameters for trend analysis and geometry deterioration assessment. Fractal theory is discussed, and the usefulness of fractal analysis for quantifying railroad geometry data is demonstrated by highlighting key aspects of the research results. The relationship between track structure conditions and fractal dimensions for use in maintenance planning and condition evaluation is also discussed.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fractal Analysis of Track Geometry Data


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2002-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Fractal Analysis of Track Geometry Data

    Hyslip, James P. | Online Contents | 2002


    Fractal Analysis of Track Geometry Data

    Hyslip, J. P. / Transportation Research Board | British Library Conference Proceedings | 2002


    Track geometry: Data, data everywhere

    Judge, Tom | IuD Bahn | 2007


    Track geometry recording

    Lewis, R. B. / Railway Industry Association | British Library Conference Proceedings | 1996