Performance Models Based on a Factorial Experiment in the Highway Network of the State of Parana - Brazil

Pavement performance prediction models are important tools used by management systems, both at network and project levels, because they are essential for designing and planning maintenance and rehabilitation activities as well as or the estimation of the necessary budget. This work develops statistical models for the prediction of pavement performance, based on a factorial experiment and on an analysis of variance of pavement evaluations performed in the highway network of the State of Parana, Brazil. The performance prediction models developed in the present work, which consider the effects of the factors age, traffic loading, and pavement structural capacity on the dependent variables roughness and pavement deflections, show better results than performance models developed by Brazilian and foreign highway agencies. There is evidence that the method used in this study can be applied to highway networks with different characteristics of climate, traffic loading, structural capacity, material types and construction techniques.

  • Availability:
  • Authors:
    • Yshiba, Jose Kiynha
    • Fernandes Jr, Jose Leomar
  • Publication Date: 2006-1


  • English

Media Info

  • Media Type: Print
  • Features: Figures; Maps; References; Tables;
  • Pagination: pp 142-151
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01054605
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 22 2007 1:45PM