A Multi-Objective Optimization-Based Pavement Management Decision-Support System for Enhancing Pavement Sustainability

4th International Conference on Road and Rail Infrastructure (CETRA 2016)

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Title A Multi-Objective Optimization-Based Pavement Management Decision-Support System for Enhancing Pavement Sustainability
 
Creator João Santos; Department of Civil Engineering, University of Coimbra
Adelino Jorge Lopes Ferreira; Department of Civil Engineering, University of Coimbra
Gerardo Flintsch; Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University
 
Subject pavement management; life cycle cost analysis; multi-objective optimization; decision-support system
 
Description In a society where the public awareness of environmental protection is increasing remarkably and the availability of resources and funding is limited, it is more vital than ever that departments of transportation and decision-makers seek new tools that enable them to make the best and most rational use of these resources, taking into account environmental and social factors, along with economic and technical considerations. However, the practice adopted by highway agencies with regards to pavement management, has mostly consisted of employing life cycle costs analysis (LCCA) systems to evaluate the overall long-term economic efficiency of competing pavement design and maintenance and rehabilitation activity alternatives. This way of supporting the decision-making process as it relates to pavement management, in which little or no importance is given to environmental considerations, does not seem to be effective in advancing sustainability in pavement systems. To address this multifaceted problem, this paper presents a comprehensive and modular multi-objective optimization (MOO) based pavement management decision-support system (DSS) which comprises three main components: (1) a MOO module; (2) a comprehensive and integrated pavement lifecycle costs – life-cycle assessment (LCC-LCA) module that covers the whole life cycle of the pavement; and (3) a decision support module. The potential of the proposed DSS is illustrated with one case study consisting of determining the optimal M&R strategy for an one-way flexible pavement section of a typical Interstate highway in Virginia, USA, which yields the best trade-off between the following three often conflicting objectives: (1) minimization of the present value (PV) of the total life-cycle highway agency costs; (2) minimization of the PV of the life-cycle road user costs; and (3) minimization of the life-cycle greenhouse gas emissions.
 
Publisher CETRA 2016
 
Contributor
 
Date 2017-02-28 15:09:44
 
Type Peer-reviewed Paper
 
Identifier http://master.grad.hr/cetra/ocs/index.php/cetra4/cetra2016/paper/view/461
 
Source CETRA 2016; 4th International Conference on Road and Rail Infrastructure
 
Language en
 
Rights Authors who submit to this conference agree to the following terms:<br /> <strong>a)</strong> Authors retain copyright over their work, while allowing the conference to place this unpublished work under a <a href="http://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution License</a>, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference. <br /> <strong>b)</strong> Submitted full papers will be published in the book of proceedings "Road and Rail Infrastructure IV" as well as in digital form (on a CD). Conference organiser is allowed to publish author's names, institution and country as well as the paper abstract on the conference web site.
 

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