Railroad Infrastructure Health Assessment Using Multiway Data Factorization - A Case for Railroad Track Geometry Data

Details

• Creators:
  Adarkwa, Offei A. ; Attoh-Okine, Nii
• Corporate Creators:
  University of Delaware. Department of Civil and Environmental Engineering ; University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability. USDOT Tier 1
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Asset management
  • Data analysis
  • Geometry
  • Maintenance of way
  • Railroad tracks
  • Railroads
  • Structural health monitoring
  • Tensor analysis
• Publication/ Report Number:
  RailTEAM UD-6
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  University of Nevada. University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability
• Abstract:
  The state of the nation’s infrastructure has been of significant interest to the media, policy makers and public. The government is therefore seeking new ways to maximize each dollar spent investing in infrastructure. It is anticipated that there will be a growing demand for railroad infrastructure since federal forecasts have projected a 40% increase in US freight shipments by 2040. To meet this demand, sustained funding must be paired with sound asset management practices. Large amounts of data are generated by both passenger and freight railroad systems in the U.S. and results from the analysis of this data could serve as the basis for proactive maintenance to improve safety and system performance. Different methods have been used to analyze track geometry data, but this work focuses on how multiway data analysis can be used to generate insights from this data. The results obtained from this analysis are compared to the two-dimensional approach for analyzing the same data in order to showcase the main advantages associated with using multidimensional data analysis techniques in the management of railroads.
• Format:
  PDF
• Funding:
  69A3551747132
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/82322/dot_82322_DS1.pdf
• File Type:
  [PDF - 1.35 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:b92fa4af6c2fc7f0d68cfe30bc970b49f94bdf7c95aa66add47e9c6f80728a2bf200be3ebc388b97245dfd4f829c75d4ab6e3a91f25f0cbcb7c3ccac0eb0799f