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http://dx.doi.org/10.7470/jkst.2014.32.4.380

A Study on Performance Evaluation of Various Kriging Models for Estimating AADT  

Ha, Jung Ah (Highway & Transportation Research Division, Korea Institute of Civil Engineering and Building Technology)
Oh, Sei-Chang (Department of Transportation Systems Engineering, Ajou University)
Heo, Tae-Young (Department of Information Statistics, ChungBuk National University)
Publication Information
Journal of Korean Society of Transportation / v.32, no.4, 2014 , pp. 380-388 More about this Journal
Abstract
Annual average daily traffic(AADT) serves as important basic data in the transportation sector. AADT is used as design traffic which is the basic traffic volume in transportation planning. Despite of its importance, at most locations, AADT is estimated using short term traffic counts. An accurate AADT is calculated through permanent traffic counts at limited locations. This study dealt with estimating AADT using various models considering both the spatial correlation and time series data. Kriging models which are commonly used spatial statistics methods were applied and compared with each model. Additionally the External Universal kriging model, which includes explanatory variables, was used to assure accuracy of AADT estimation. For evaluation of various kriging methods, AADT estimation error, proposed using national highway permanent traffic count data, was analyzed and their performances were compared. The result shows the accuracy enhancement of the AADT estimation.
Keywords
annual average daily traffic; co-kriging; kriging; permanent traffic counts; short-term traffic counts;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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