Global Journal of Information Technology: Emerging Technologies

Global Journal of Information Technology: Emerging Technologies

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

Yazarlar: Sebnem Sargin Karahancer, Ekinhan Eriskin, Buket Capali, Serdal Terzi, Mehmet Saltan

Cilt 7 , Sayı 3 , 2017 , Sayfalar 157-162

Konular:

DOI:10.18844/gjit.v7i3

Anahtar Kelimeler:International roughness index,Least squares method,Modelling,Estimation,Fuzzy logic.

Özet: 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.


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BibTex
KOPYALA
@article{2017, title={Route 93, Arizona’s IRI estimation using least squares method and fuzzy logic}, volume={7}, number={157–162}, publisher={Global Journal of Information Technology: Emerging Technologies}, author={Sebnem Sargin Karahancer, Ekinhan Eriskin, Buket Capali, Serdal Terzi, Mehmet Saltan}, year={2017} }
APA
KOPYALA
Sebnem Sargin Karahancer, Ekinhan Eriskin, Buket Capali, Serdal Terzi, Mehmet Saltan. (2017). Route 93, Arizona’s IRI estimation using least squares method and fuzzy logic (Vol. 7). Vol. 7. Global Journal of Information Technology: Emerging Technologies.
MLA
KOPYALA
Sebnem Sargin Karahancer, Ekinhan Eriskin, Buket Capali, Serdal Terzi, Mehmet Saltan. Route 93, Arizona’s IRI Estimation Using Least Squares Method and Fuzzy Logic. no. 157–162, Global Journal of Information Technology: Emerging Technologies, 2017.