Route 93, Arizona’s IRI estimation using least squares method and fuzzy logic

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Sebnem Sargin Karahancer
Ekinhan Eriskin
Buket Capali
Serdal Terzi
Mehmet Saltan

Abstract

Serviceability was found to be influenced by longitudinal and transverse profiles as well as the extent of cracking and
patching. The amount of weight to assign to each element in the determination of the overall serviceability is a matter of
subjective opinion. International roughness index of highway pavements has been estimated by least squares and fuzzy logic methods and compared. For these models, Route 93, Arizona experimental data have been used. Annual freeze –thaw occurring days, depending on years, ha ve been used for modelling. The developed model with least squares method has a high regression value. This approach can be easily and realistically performed to solve problems that do not have a formulation or function for the solution.



Keywords: International roughness index, least squares method, modelling, estimation, fuzzy logic.

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How to Cite
Karahancer, S. S., Eriskin, E., Capali, B., Terzi, S., & Saltan, M. (2017). Route 93, Arizona’s IRI estimation using least squares method and fuzzy logic. Global Journal of Information Technology: Emerging Technologies, 7(3), 157–162. https://doi.org/10.18844/gjit.v7i3.2836
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