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

Şebnem Karahançer | Zendy; Ekinhan Erişkin | Zendy; Buket Çapalı | Zendy; Serdal Terzi | Zendy; Mehmet Saltan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Şebnem Karahançer,

Ekinhan Erişkin,

Buket Çapalı,

Serdal Terzi,

Mehmet Saltan

Publication year - 2017

Publication title -

global journal of information technology emerging technologies

Language(s) - English

Resource type - Journals

ISSN - 2301-2617

DOI - 10.18844/gjit.v7i3.2836

Subject(s) - serviceability (structure) , fuzzy logic , international roughness index , residual sum of squares , ordinary least squares , mathematics , least squares function approximation , statistics , explained sum of squares , computer science , engineering , surface finish , non linear least squares , structural engineering , artificial intelligence , mechanical engineering , estimator

erviceability 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research