United States Department of Transportation
i
Asset management inventory and data collection.
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2009-10-01
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[PDF-3.65 MB]
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Edition:Final report; Apr. 2008-Dec. 2008.
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Abstract:An efficient and accurate inventory of a state highway agency’s assets, along with the means to assess the condition
of those assets and model their performance, is critical to enabling an agency to make informed investment decisions
in a Transportation Asset Management (TAM) environment. Today, new technologies provide fast and improved
ways to gather, process, and analyze data. The key is to identify and gather the most useful, reliable, cost-effect
information and use it to make informed decisions for asset management.
Four key infrastructure areas have been identified as primary asset components; pavements, bridges, geotechnical
features, and roadside appurtenances. Each area contains multiple categories and data elements important for sound
decision making. Although some similarities exist in these four primary categories, the nature of data collection may
differ, depending on the asset type. The, sheer number of data elements and the length of asset networks for
pavements and roadside appurtenances render the automated highway speed data collection method a necessity
rather than a luxury. However, the discrete nature of bridges and geotechnical features make the automated mobile
data collection method on a network level unfeasible with today’s technology.
Important issues in the collection process include precision, subjectivity and variability of the process itself, as well
as speed, safety of the survey crew, proximity of the public, cost, etc. Although previous research has attempted to
address these issues and determine the most appropriate method(s), the question remains as to which roadway data
collection system is best for state highway agencies given real world constraints. This research set up a “sealed
envelope” experiment wherein the identification, location, description, and quality of the asset data elements are
known only to NCSU researchers. Vendors are informed of only the data necessary to perform their evaluation. To
support this effort at 95-mile test course near Raleigh, North Carolina was identified, which contained a sampling of
pavement, roadside, geotechnical and bridge elements. This document reports on the findings from the study.
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