A Multi-Objective Decision-Making Approach for the Sustainable Maintenance of Roadways

The limited available budget along with old aging infrastructure in nation magnifies the role of strategic decision making for maintenance of highway infrastructure. The challenging objective is to maintain the highway assets in a state of good repair and to improve their efficiency and performance while protecting and enhancing the natural environment. Decision makers are in need of a decision support system to consider these multiple objectives to effectively allocate funding and achieve the construction and maintenance objectives. The proposed model aims at finding optimal techniques for maintenance of multiple roadway asset items while taking into account maintenance time, cost and environmental impacts. This model creates a multi-objective problem based on the multi colony ant colony optimization. The objectives of the problem are: (1) Minimizing maintenance costs, (2) Minimizing maintenance time, and (3) Minimizing environmental impacts. The proposed approach will simultaneously optimize three conflicting objectives. The results of implementation of the proposed model on a case study are presented and discussed for a sub-set of asset items. The proposed model is validated and results reveal its robustness in generation of optimal solutions. Application of the proposed approach is implemented on the roadway asset items but it is not limited to roadways and is applicable to other infrastructure assets.

• Record URL:
  https://doi.org/10.1061/9780784479827.143
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784479827
• Supplemental Notes:
  • © 2016 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Shoghli, Omidreza
  • De La Garza, Jesus M
• Conference:
  • Construction Research Congress 2016
  • Location: San Juan Puerto Rico, United States
  • Date: 2016-5-31 to 2016-6-2
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1424-1434
• Monograph Title: Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan

Subject/Index Terms

• TRT Terms: Cost allocation; Decision support systems; Environmental impacts; Goodness of fit; Maintenance; Optimization; Service time; Strategic planning; Sustainable development
• Uncontrolled Terms: Ant colony optimization
• Subject Areas: Environment; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01605948
• Record Type: Publication
• ISBN: 9780784479827
• Files: TRIS, ASCE
• Created Date: Jul 28 2016 10:02AM