Pavement Performance Prediction for Illinois Tollway System

Accurate pavement performance prediction represents an important role in prioritizing future maintenance and rehabilitation needs, and predicting future pavement condition in a pavement management system. The Illinois State Toll Highway Authority (Tollway) with over 2000 lane miles of pavement utilizes the condition rating system (CRS) methodology to rate pavement performance. Pavement performance models developed in the past for the Illinois Department of Transportation (IDOT) are used by the Tollway to predict the future condition of its network. The model projects future CRS ratings based on pavement type, thickness, traffic, pavement age and current CRS rating. However, with time and inclusion of newer pavement types there was a need to calibrate the existing pavement performance models, as well as develop models for newer pavement types. This study presents the results of calibrating and developing new models for the various pavement types in the Illinois Tollway network. The predicted future condition of the pavements is used in estimating its remaining service life to failure, which is of immediate use in recommending future maintenance and rehabilitation requirements for the network.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AFD10 Pavement Management Systems. Alternate title: Pavement Performance Prediction for the Illinois Tollway System.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Premkumar, Laxmikanth
    • Vavrik, William R
  • Conference:
  • Date: 2015

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 11p
  • Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01552735
  • Record Type: Publication
  • Report/Paper Numbers: 15-4684
  • Files: PRP, TRIS, TRB, ATRI
  • Created Date: Feb 2 2015 4:03PM