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.
Highlights
Highways are one of most important structures for the development of a civilization
A general form of an equation is determined in order to analyse the trend between years and annual freeze –thaw occurring days (Eq (2))
The model obtained from fuzzy logic can only estimate the values between the limit values used for training
Summary
Highways are one of most important structures for the development of a civilization. Bitumen is widely used as a binder in the construction of highways. Because bitumen is an expensive material, the construction of highways is costly It would be a wise step for road professionals to provide long-term service life of the highway. It is an optimisation problem to apportion the highway budget between M&R and new construction To solve this problem, it is important to create an optimum pavement management system (PMS). According to the AASHTO Road Test, 95% of the service ability could be obtained with the longitudinally roughness measurements (Carey & Iric, 1960). IRI is a general index about the pavement condition, which is obtained with an 80 kph driving car measuring the longitudinally profile of the highway. Annual freeze–thaw occurring day’s data from long-term pavement performance (LTPP) programme are used (Federal Highway Administration, 2013). Least squares method and fuzzy logic is used for modelling IRI
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Global Journal of Information Technology: Emerging Technologies
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
