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contributor authorQiang Joshua Li
contributor authorKelvin C. P. Wang
contributor authorVu Nguyen
contributor authorZhongjie “Doc” Zhang
date accessioned2017-05-08T22:02:35Z
date available2017-05-08T22:02:35Z
date copyrightNovember 2013
date issued2013
identifier other%28asce%29up%2E1943-5444%2E0000011.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69628
description abstractSeveral state DOTs utilize the statistics presented in the Federal Highway Administration (FHWA)’s version of the traffic monitoring guide (TMG) to conduct weigh-in-motion (WIM) data quality checks for DARWin-ME traffic load spectra data preparation. Because the data check statistics in the guide were originally developed in the early 1990s, there is a need to reexamine its continuing use in up-to-date truck traffic streams. This paper aims to validate the TMG data check algorithms using WIM data from the long-term pavement performance (LTPP) special pavement study (SPS) traffic pooled-fund study. Cluster analysis is performed to identify similar traffic patterns, and the statistical summary for each data check criterion is obtained. Subsequently, the statistics based on the pooled fund data are compared to those recommended in the TMG. The results of the paper conclude that the data check criteria in the TMG guide are still valid for most of the sites; however, users should be alert that the guide also acknowledges WIM stations with exceptional patterns. This study presents a framework to check the suitableness of using the guide for such cases.
publisherAmerican Society of Civil Engineers
titleValidation of TMG Traffic Data Check Algorithms
typeJournal Paper
journal volume139
journal issue11
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/(ASCE)TE.1943-5436.0000598
treeJournal of Transportation Engineering, Part A: Systems:;2013:;Volume ( 139 ):;issue: 011
contenttypeFulltext


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