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    Lifespan Evaluation of Traffic Detector for Automated Traffic Recorders Based on Weibull Distribution

    Source: Journal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 009
    Author:
    YooSeok Jung
    ,
    JuSam Oh
    DOI: 10.1061/JTEPBS.0000003
    Publisher: American Society of Civil Engineers
    Abstract: An automatic traffic recorder (ATR) makes it easy to detect a vehicle’s speed and the number of axles because it produces highly precise data; thus, it can be used to obtain major traffic characteristics for several purposes such as vehicle classification. However, the failure of a piezo sensor or inductive-loop sensor often results in missing data. Moreover, there is no method available for evaluating the life of a sensor installed in a pavement. Therefore, such sensors require maintenance after a failure occurs, resulting in a large amount of missing traffic volume data. If the quantified life expectancy of a sensor could be obtained, a maintenance and rehabilitation strategy could be established and the economic feasibility could be determined. In this study, the 5-year maintenance history of a sensor newly installed in a national highway was reviewed. Normal, gamma, lognormal, and Weibull distributions were fitted to the data, and the results were compared. The Weibull distribution was used to predict the life. When the maintenance histories of piezo and inductive-loop sensors were fitted to the Weibull distribution, the scale parameters were 79.23 and 89.72 and the shape parameters were 3.28 and 2.83 for the piezo sensor and loop sensor, respectively. The mean life and median life of the piezo sensor were calculated to be 71.05 and 70.85 months, respectively. Those of the loop sensor were 79.92 and 78.82 months, respectively.
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      Lifespan Evaluation of Traffic Detector for Automated Traffic Recorders Based on Weibull Distribution

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4242341
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorYooSeok Jung
    contributor authorJuSam Oh
    date accessioned2017-12-16T09:23:35Z
    date available2017-12-16T09:23:35Z
    date issued2017
    identifier otherJTEPBS.0000003.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242341
    description abstractAn automatic traffic recorder (ATR) makes it easy to detect a vehicle’s speed and the number of axles because it produces highly precise data; thus, it can be used to obtain major traffic characteristics for several purposes such as vehicle classification. However, the failure of a piezo sensor or inductive-loop sensor often results in missing data. Moreover, there is no method available for evaluating the life of a sensor installed in a pavement. Therefore, such sensors require maintenance after a failure occurs, resulting in a large amount of missing traffic volume data. If the quantified life expectancy of a sensor could be obtained, a maintenance and rehabilitation strategy could be established and the economic feasibility could be determined. In this study, the 5-year maintenance history of a sensor newly installed in a national highway was reviewed. Normal, gamma, lognormal, and Weibull distributions were fitted to the data, and the results were compared. The Weibull distribution was used to predict the life. When the maintenance histories of piezo and inductive-loop sensors were fitted to the Weibull distribution, the scale parameters were 79.23 and 89.72 and the shape parameters were 3.28 and 2.83 for the piezo sensor and loop sensor, respectively. The mean life and median life of the piezo sensor were calculated to be 71.05 and 70.85 months, respectively. Those of the loop sensor were 79.92 and 78.82 months, respectively.
    publisherAmerican Society of Civil Engineers
    titleLifespan Evaluation of Traffic Detector for Automated Traffic Recorders Based on Weibull Distribution
    typeJournal Paper
    journal volume143
    journal issue9
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000003
    treeJournal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 009
    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
    yabeshDSpacePersian