Methods to Identify Problematic Carriers and Prevent Infrastructure Damage

Routinely collected Massachusetts data sets, including overweight permit applications and commercial truck inspections, are underused in safety and infrastructure analysis. Data warehousing and computing capabilities are advancing to allow live-time trend monitoring which could enhance enforcement efforts of overweight vehicles through proactive analysis and outlier identification. This project collected, examined, and used a variety of transportation data sets to establish expertise, document nuances, and execute linkage hypotheses. Key informant interviews, an information synthesis of current practices, and a literature review informed the selection of the canisters’ fields of interest. The experiential process of requesting data from other agencies and departments resulted in lessons learned on time-delay and compromises in desired format, breadth, and depth. Ultimately, this research and feasibility study was confirmed with the successful development of three data set-canister linkages, demonstrating that decoupled data sets can be used to comprehensively examine overweight vehicle and carrier trends, and normalize analyses for improved problem identification.

  • Record URL:
  • Corporate Authors:

    University of Massachusetts

    UMassSafe
    131 County Circle
    Amherst, MA  United States  01003

    Massachusetts Department of Transportation

    Office of Transportation Planning
    Boston, MA  United States 

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Gazzillo, Jennifer
    • Riessman, Robin
    • Fitzpatrick, Cole
    • Roney-Yeager, Benjamin
  • Publication Date: 2024-3

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: References; Tables;
  • Pagination: 65p

Subject/Index Terms

Filing Info

  • Accession Number: 01937216
  • Record Type: Publication
  • Report/Paper Numbers: 23-050
  • Files: NTL, TRIS, USDOT, STATEDOT
  • Created Date: Nov 18 2024 2:21PM