Development Of The California Pavement Management System

Author : Ester Tseng
Publisher :
ISBN 13 : 9781267760197
Total Pages : pages
Book Rating : 4.7/5 (61 download)

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Download or read book The Construction of Pavement Performance Models for Flexible Pavement Wheelpath Cracking and IRI for the California Department of Transportation New Pavement Management System written by Ester Tseng and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the study is to propose a methodology to develop performance models that reflect the behavior of pavements in California using: 1) results obtained in previous studies, 2) performance estimates generated by the Caltrans mechanistic-empirical software (CalME), 3) an opinion survey circulated among Caltrans experts and 4) as-built records and data from Caltrans pavement condition surveys. The models developed in this study are intended to be used by the Caltrans Pavement Management System (PaveM), which is using a software framework developed by AgileAssets with the objective of optimizing maintenance and rehabilitation strategies. The models built in this study have been simplified to conform to the type of models required as inputs by the software. The only independent variable allowed in the software is pavement age. In order to comply with the configuration of the PaveM software, any other relevant factors have been accounted for as different branches in a performance model tree that leads to a different equation at the end of each final branch. Properties that are usually considered as continuous variables were considered as categorical variables and separated into different groups to conform to the framework. In addition to the simplifications required by the software, the available historical data for constructing the models required significant attention to produce the database used for the models, due to issues with the available as-built documents, and issues with location identification (due to constraints of location referencing technology and the precision required at the time) and sampling coverage (due to logistical constraints of condition surveys performed by walking the side of the road) in the condition survey data. Therefore, the data has significant variability and the models constructed from them have initial coefficients that are intended to be updated as improved data is acquired.