United States Department of Transportation
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Methods To Identify Problematic Carriers and Prevent Infrastructure Damage
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2024-03-01
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[PDF-863.49 KB]
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Edition:Final Report [March 2024]June 2022 - March 2024
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Abstract: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.
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