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contributor authorBaffoe-Twum, Edmund
contributor authorAsa, Eric
contributor authorMattson, Jeremy
contributor authorBanawi, Abdulaziz A.
date accessioned2026-08-20T20:54:19Z
date available2026-08-20T20:54:19Z
date copyright2026/01/13
date issued2026
identifier otherJTEPBS.TEENG-9059.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313649
description abstractAbstractThis 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 ...
publisherAmerican Society of Civil Engineers
titleGeostatistical Innovation for Transportation Planning: The Role of Gaussian Geostatistical Simulation
typeJournal Article
journal volume152
journal issue3
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9059
journal fristpage04026002-1
journal lastpage04026002-15
page15
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 003
contenttypeFulltext


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