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    Geostatistical Innovation for Transportation Planning: The Role of Gaussian Geostatistical Simulation

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    JTEPBS.TEENG-9059.pdf (1.688Mb)
    Date
    2026
    Author
    Baffoe-Twum, Edmund
    Asa, Eric
    Mattson, Jeremy
    Banawi, Abdulaziz A.
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    Abstract
    AbstractThis study applied a Gaussian geostatistical simulation (GGS) to enhance the estimation of the annual average daily traffic (AADT) on low-volume roads in Montana. Traditional methods such as short-term traffic counts, regression models, manual ...Practical ApplicationsGeostatistical Gaussian simulations were used to estimate the AADT in this study. This method is useful when direct traffic counts are unavailable. It predicts traffic in missing areas by analyzing existing data and identifying ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4313649
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