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NCDOT Quality Control Methods for Weigh-in-Motion Data

Bibliographic Data

ID12456479
AuthorsAditya N Ramachandran (North Carolina State University, Raleigh, NC,, corresponding author), Kent L Taylor (North Carolina Department of Transportation), John Stone (0000-0002-5925-0800), John R Stone (North Carolina State University, Raleigh, NC), Soheil Sajjadi, Soheil S Sajjadi (North Carolina State University, Raleigh, NC)
Year2011
Volume16
Issue1
Pages3-19
Publication date2011-01-01
Open AccessYes
TypeARTICLE
VenuePublic Works Management & Policy (JOURNAL)
Journal identifiersISSN: 1087-724X • E-ISSN: 1552-7549
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1087724x10383583
OpenAlexW2011990498
LanguageEN
References cited1

At hundreds of weigh-in-motion (WIM) stations, state departments of transportation (DOTs) collect WIM data 24/7 to meet federal traffic reporting requirements. The North Carolina Department of Transportation (NCDOT) collects WIM data using procedures consistent with recommended industry practices to estimate static vehicle axle weights based on dynamic traffic measurements. Data errors and poor quality data are captured regardless of the technology used, and a quality control (QC) process is an important part of all WIM data systems. WIM data must undergo a series of sequential and well-defined QC procedures to ensure that the data meet the federal requirements and new standards for the Mechanistic Empirical Pavement Design Guide (MEPDG) process. This article documents the NCDOT WIM QC procedures. The results of the QC analysis provide reliable data sets for use in developing Levels 1, 2, and 3 traffic data inputs for the North Carolina MEPDG models

Axle · Control (management · Data quality · Operations management · Process (computing · Quality (philosophy · State highway · Statistical process control · Transport engineering · Weigh in motion · Computer Science · Engineering · Infrastructure Maintenance and Monitoring · Transport Systems and Technology · Transportation Safety and Impact Analysis

Highly citedNo

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