The first requirement in WIM
analysis is an assessment of data quality. Chaparral, in conjunction
with Mark Hallenbeck of Washington State.s Transportation Center,
developed the WIM quality control (QC) tools for the Long-Term
Pavement Performance (LTPP) Project. We offer the service of using
these and other tools to provide QC analyses of an agency's WIM
data. The agency can use the graphical output from these analyses
to assess the quality of data from WIM devices.
Chaparral also has powerful analysis tools for summarizing WIM
data and making them generally available through a Public Database.
Our TRADAS software system provides, in addition to QC, useful
summaries, including both axle load distributions and gross vehicle
weight distributions on daily, monthly, and annual summary periods.
These summaries are the basis for other powerful analyses, including:
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Assessment of equivalent single axle load (ESAL) factors for each
vehicle type evaluated by the WIM equipment.
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Evaluation of alternative load equivalency
factors for state-specific loading conditions.
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Determination of loading by vehicle type,
day of week, and month (or season) of year.
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Evaluation of commodity tonnage
by vehicle type, day of week, and month of year.
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Analyses of port of entry data to establish
interstate loading patterns for comparison to intrastate WIM distributions.
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Comparisons of measured load across measurement
sites, roadway classification, and other independent variables.
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Determination of best grouping schemes for data
analysis and factor calculations (geographical, urban versus rural,
roadway type, etc.).
Chaparral offers the full range of analytical services, including
data polling of WIM devices, QC processing, data summarization
and database creation, and the analytical studies resulting from
these processes.
In addition to our in-house expertise developed in our ten years
of WIM processing experience, Chaparral can bring together a team
of experts from our many contacts in the industry. We can transform
your WIM operation from a massive data collection exercise to a
valuable planning information repository.connection will be given
an additional 10 hours of service under this agreement. |