Integrated Optimization Model for Network-Level Transportation Cross Asset Preservation

The aging transportation network and significantly constrained budget environment in the U.S. have prompted many transportation agencies to search for optimal asset preservation strategies. This paper presents the development of a network-level, multiple-year optimization model for managing multiple transportation assets. The relative importance of different asset types was estimated using the analytic hierarchy process (AHP) method to include consideration of various factors such as asset value, asset condition, and safety. A linear programming model was established to determine the optimal budget allocation and treatment policy considering multiple asset types simultaneously. Based on the network-level optimization results and using multiple attribute utility theory (MAUT), work plans for each asset were then generated. The main advantages of the proposed process are the ability to generate the best budget allocation among different asset types and rehabilitation treatments, predicting future asset condition, and generating candidate project lists or work plans for a large scale transportation network. An example problem based on the four-lane divided highway network in Ohio was solved. Pavement and bridge decks were the two asset types considered. The results show that the proposed process can be used by transportation agencies to develop individual asset work plans that maximize the overall asset condition given an available budget. Alternatively, the total budget and allocation required to achieve overall asset condition target set by the agency can be determined as well.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ABC40 Transportation Asset Management. Alternate title: Integrated Optimization Model for Network-Level Transportation Cross-Asset Preservation
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Wang, Shuo
    • Chou, Eddie Y
  • Conference:
  • Date: 2015

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 20p
  • Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01551509
  • Record Type: Publication
  • Report/Paper Numbers: 15-0036
  • Files: TRIS, TRB, ATRI
  • Created Date: Jan 27 2015 11:23AM