The Florida Department of Transportation (FDOT) Weigh-in-Motion (WIM) truck traffic data was analyzed to generate average truck damage factors and average weight for each truck classification. Visual Basic and the statistical package in Excel were used to calculate the number of trucks, maximum, minimum and average damage factors and average weight for each type of truck. The trucks were classified according to the FDOT's standard classification system. Seven classes of trucks were analyzed at nine sites in the State of Florida. The 18-kip Equivalent Single Axle Load (ESAL) or load equivalency is used to calculate damage factors for each type of truck. The American Association of State Highway and Transportation Officials (AASHTO) test results show that roadway damage caused by trucks increases approximately in accordance with the load in ESALs multiplied to the fourth power. This concept is used in the calculation of damage factors. The main objectives of this research project was to develop systematic procedures for the collection and analysis of WIM data and to identify the parameters and influencing factors that affect damage factor and average weight calculations. Statistical models are developed to set up a hypothesis to determine if the means of the total average truck weights are equal in all sites under the study.


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    Titel :

    Analysis of Weigh-In-Motion Truck Traffic Data to Determine Truck Damage Factors and Average Weights


    Beteiligte:
    F. T. Najafi (Autor:in) / Q. Y. Yao (Autor:in) / B. Blackadar (Autor:in) / D. M. Ruiz (Autor:in) / J. Lee (Autor:in)

    Erscheinungsdatum :

    1996


    Format / Umfang :

    102 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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