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    Validation of TMG Traffic Data Check Algorithms

    Source: Journal of Transportation Engineering, Part A: Systems:;2013:;Volume ( 139 ):;issue: 011
    Author:
    Qiang Joshua Li
    ,
    Kelvin C. P. Wang
    ,
    Vu Nguyen
    ,
    Zhongjie “Doc” Zhang
    DOI: 10.1061/(ASCE)TE.1943-5436.0000598
    Publisher: American Society of Civil Engineers
    Abstract: Several 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.
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      Validation of TMG Traffic Data Check Algorithms

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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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