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


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