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Proceedings ArticleDOI

A Framework for Maintenance Management of Pavement Networks under Performance-Based Multi-Objective Optimization

24 Aug 2017-pp 209-221

About: The article was published on 2017-08-24. It has received 2 citation(s) till now. The article focuses on the topic(s): Multi-objective optimization.
Citations
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Journal ArticleDOI
01 Apr 2019-Applied Sciences
TL;DR: According to the literature review, this paper confirms optimization can effectively assist DM in IAM and a wide range of optimization methods are applicable to assist a variety of DM problems.
Abstract: Infrastructure assets, serving everyone’s daily life, are an essential foundation of any society. Their management faces a wide range of challenges. Hence optimization methods are increasingly applied to assist making management decisions in infrastructure asset management (IAM). A large number of articles apply a broad range of optimization methods in their decision making (DM) and achieve great results. However, they mainly focus on individual methods and a comprehensive knowledge, given the broad range of optimization methods, is hardly discussed. Hence it is valuable to analyze and graphically present the existing knowledge on this subject. This paper, based on a total of 337 articles, provides an overall review of the applications of optimization when making management decisions in IAM, with the intension of enhancing the optimization application and method selection and guiding the future research in this field. More specifically, this paper introduces the application process of optimization when assisting DM in IAM, summarizes the previous application research, and discusses the popular optimization methods applied in DM in IAM. According to the literature review, this paper confirms optimization can effectively assist DM in IAM and a wide range of optimization methods are applicable to assist a variety of DM problems. The recommendations on the applications and selection of optimization methods in the context of IAM are also made to facilitate the applications.

30 citations


Journal ArticleDOI
Wang Chen1, Mulian Zheng1Institutions (1)
TL;DR: The strategic decision-making goals, decision processes, sources and characterization methods of uncertainty, intelligent algorithm followed across the globe were reviewed, and the latest development of multi-objective decision-aid tools (MODAT) for PMMS was discussed while emphasizing the importance of establishing joint MOO optimization model of multiple facilities and multiple M&R techniques forPMMS to achieve intelligent decision- making.
Abstract: The next-generation of pavement maintenance and rehabilitation (M&R) decision-making needs to weigh multiple strategic goals to achieve sustainable development through the pavement maintenance management system (PMMS). Motivated by good versatility in solving highly complex conflict problems, the application of multi-objective optimization (MOO) for pavement M&R has recently become a hot-spot issue. This review aims to provide the state-of-the-art development and application of MOO methods for the PMMS decision-making module and the associated MOO model, decision-making tools, and optimization techniques. The strategic decision-making goals, decision processes, sources and characterization methods of uncertainty, intelligent algorithm followed across the globe were reviewed. Further, the latest development of multi-objective decision-aid tools (MODAT) for PMMS was discussed while emphasizing the importance of establishing joint MOO optimization model of multiple facilities and multiple M&R techniques for PMMS to achieve intelligent decision-making. The existing deficiencies and future direction of research have been discussed.

6 citations


References
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Journal ArticleDOI
Indraneel Das1Institutions (1)
Abstract: This paper deals with the issue of generating one Pareto optimal point that is guaranteed to be in a “desirable” part of the Pareto set in a given multicriteria optimization problem. A parameterization of the Pareto set based on the recently developed normal-boundary intersection technique is used to formulate a subproblem, the solution of which yields the point of “maximum bulge”, often referred to as the “knee of the Pareto curve”. This enables the identification of the “good region” of the Pareto set by solving one nonlinear programming problem, thereby bypassing the need to generate many Pareto points. Further, this representation extends the concept of the “knee” for problems with more than two objectives. It is further proved that this knee is invariant with respect to the scales of the multiple objective functions. The generation of this knee however requires the value of each objective function at the minimizer of every objective function (the pay-off matrix). The paper characterizes situations when approximations to the function values comprising the pay-off matrix would suffice in generating a good approximation to the knee. Numerical results are provided to illustrate this point. Further, a weighted sum minimization problem is developed based on the information in the pay-off matrix, by solving which the knee can be obtained.

219 citations


Journal ArticleDOI
Kalyanmoy Deb1, Shivam Gupta2Institutions (2)
TL;DR: In this article, an attempt is made to improve understanding of a knee point and investigate the properties of a bicriteria problem that may exhibit a knee on its Pareto-optimal front.
Abstract: A knee point is almost always a preferred trade-off solution, if it exists in a bicriteria optimization problem. In this article, an attempt is made to improve understanding of a knee point and investigate the properties of a bicriteria problem that may exhibit a knee on its Pareto-optimal front. Past studies are reviewed and a couple of new definitions are suggested. Additionally, a knee region is defined for problems in which, instead of one, a set of knee-like solutions exists. Edge-knee solutions, which behave like knee solutions but lie near one of the extremes on the Pareto-optimal front, are also introduced. It is interesting that in many problem-solving tasks, despite the existence of a number of solution methodologies, only one or a few of them are commonly used. Here, it is argued that often such common solution principles are knee solutions to a bicriteria problem formed with two conflicting goals of the underlying problem-solving task. The argument is illustrated on a number of tasks, such as ...

197 citations


Journal ArticleDOI
Zheng Wu1, Gerardo W. Flintsch1Institutions (1)
Abstract: Pavement preservation programming often involves multiple objective considerations. Traditional single-objective optimization frameworks consider one single objective while imposing competing objectives as constraints in the optimization formulation. This paper proposes an approach for pavement preservation programming that uses multiobjective optimization and chance constraints. This approach can handle multiple incommensurable and conflicting objectives while considering probabilistic constraints related to the available budget over the planning horizon. The implementation of the approach in a case study with two conflicting objectives of: (1) maximizing the network level of service in terms of weighted average state condition; and (2) minimizing the total preservation cost, shows that its application provides a practical and flexible tool to determine optimal allocation of resources for pavement preservation that reflects agency goals, resource limitations, and performance targets.

78 citations


Journal ArticleDOI
Abstract: At a certain point in the life of a flexible pavement, rehabilitation is required to improve pavement condition and to defer reconstruction. Pavement managers seek the best rehabilitation treatment on the basis of cost effectiveness. Using 1994–2002 data from a wet-freeze mid-Western state in the United States, this paper analyzes the cost effectiveness of four flexible pavement rehabilitation treatments: functional hot-mix asphalt (HMA) overlay, structural HMA overlay, resurfacing (partial 3R standards), and mill full-depth and asphaltic concrete overlay. The performance indicator used is the international roughness index and treatment effectiveness is measured in terms of performance jump (short-term), and service life and increase in pavement performance (long-term). The treatment cost is the equivalent uniform annual cost per lane-km incurred by the agency and user; and cost effectiveness is the ratio of effectiveness to cost. The study estimated treatment effectiveness under various combinations of traffic loading and climatic condition, and initial pavement condition. The results suggest that in the short-term, HMA structural overlay is the most effective treatment. For the long-term, the results are equivocal: HMA structural overlay is most effective from the perspective of average performance over the treatment life; resurfacing (partial 3R standards) is the most effective from the perspective of treatment service life. With regard to cost effectiveness, however, the results were consistent: for all three measures of treatment effectiveness, mill full-depth and asphaltic concrete overlay unequivocally appears to be the most cost effective treatment. Finally, the paper recommends that cost effectiveness analysis should be accompanied by a candid deliberation of project constraints, the local environment, and agency practices.

67 citations


01 Jan 1987-
Abstract: Papers presented at this session include: concepts of pavement performance prediction and modeling (lytton,rl); proposed development of pavement performance prediction models from shrp/ltpp data (rauhut,jb and gendell,ds); predictive pavement condition program in the Washington state pavement management system (jackson,nc, kay,rk and peters,aj); a rating system for unsurfaced roads to be used in maintenance management (eaton,ra, gerard,s and dattilo,rs); pavement performance prediction and risk modelling in rehabilitation budget planning : a markovian approach (cook,wd and kazakov,a); development of pavement performance curves for the Iowa Department of Transportation (cable,jk and suh,yc); a Norwegian model for prediction of pavement deterioration (bertelsen,d); pavement performance prediction model (gschwendt,i, poliacek,i and lehovec,f); mn/dot's implementation of a pavement life prediction model (hill,ld); impacts of studded tyres and their role in pavement management (isotalo,j). For the covering abstract of the conference see IRRD 807044.

58 citations


Performance
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No. of citations received by the Paper in previous years
YearCitations
20211
20191