Network-Level Road Pavement Maintenance and Rehabilitation Scheduling for Optimal Performance Improvement and Budget Utilization

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Lu Gao - , University of Texas at Austin (Author)
  • Chi Xie - , University of Texas at Austin (Author)
  • Zhanmin Zhang - , University of Texas at Austin (Author)
  • S. Travis Waller - , University of New South Wales (Author)

Abstract

This article discusses how to efficiently and completely solve a bi-objective pavement maintenance and rehabilitation-scheduling problem, which aims at optimizing two objectives of pavement condition improvement and budget utilization in a simultaneous manner. This problem may be addressed by the weighting method, constraint method, ranking method, and various metaheuristic methods. However, none of these methods can guarantee the complete Pareto-optimal solution set, which would potentially lead to suboptimal decisions. In this article, a parametric method is suggested to solve the bi-objective pavement maintenance and rehabilitation-scheduling problem. The effectiveness and efficiency of the parametric method is investigated and demonstrated through a case study using the real-world data set from the Dallas District's Pavement Management Information System. A performance comparison between the widely used weighting method and the parametric method clearly justifies the computational advantages of the parametric method.

Details

Original languageEnglish
Pages (from-to)278-287
Number of pages10
JournalComputer-Aided Civil and Infrastructure Engineering
Volume27
Issue number4
Publication statusPublished - Apr 2012
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0002-2939-2090/work/141543898