Exploratory Data Analysis of Track Geometry Data – New Insights

The project looks at various track geometry field data and performs in-depth exploratory data analysis investigating the statistical distributions and variability of the various track geometry data variables. Correlation of various track geometry parameters will be investigated by employing various linear and rank correlation dependency measures. The project also attempts to analyze and present the track geometry data using multiway data analysis (also known as tensor factorization) which will address the multidimensional nature of the dataset.


    • English


    • Status: Completed
    • Funding: $34000
    • Sponsor Organizations:

      Department of Transportation

      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      Transportation Research Center

      University of Nevada, Las Vegas
      4505 Maryland Parkway, MS 4007
      Las Vegas, NV  United States  89154
    • Performing Organizations:

      University of Delaware, Newark

      Department of Civil Engineering
      301 DuPont Hall
      Newark, DE  United States  19716
    • Start Date: 20170530
    • Expected Completion Date: 20210531
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01642690
    • Record Type: Research project
    • Source Agency: University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability
    • Files: UTC, RIP
    • Created Date: Jul 28 2017 9:14PM