A constraint-based, efficiency optimisation approach to network-level pavement maintenance management

Hankach, Pierre; Lorino, Tristan; Gastineau, Pascal

doi:10.1080/15732479.2019.1624787

Cited by 17 publications

(4 citation statements)

References 51 publications

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“…Zhang et al [31] were promotes a Lagrange multiplier approach combine with derivative-free quasi-Newton algorithms to minimize the total expenditure cost to both the highway agency and the highway users in a system of heterogenous pavement segments under budget limitation. A constraint programming (CP) approach was performed by Hankach et al [32] to minimize total maintenance cost subject to budget constrain and statistical deterioration model on the road network level. A different approach was performed by Torres-Machi et al [33] which utilizes a hybrid Greedy Randomized Adaptive Search Procedure (GRSAP) to minimize environmental impact while maximizing pavement long-term effectiveness (LTE) on pavement maintenance strategy under a limited budget.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Objective Function: (24) Constraint: (27) If (YF hikn = 1), then (BDY hikn = dfb) and (BCY hikn = fcb), (28) If (YF hikn = 1), then (MDY hikn = dfm) and (MCY hikn = fcm), (29) If (YF hikn = 1), then (UDY hikn = dfu) and (UCY hikn = fcu), (30) If (YF hikn = 0), then (BDY hikn = 0) and (BCY hikn = 0), (31) If (YF hikn = 0), then (MDY hikn = 0) and (MCY hikn = 0), (32) If (YF hikn = 0), then (UDY hikn = 0) and (UCY hikn = 0), (36) Moreover, the explanation of model II, equations ( 25) to (35), is discussed as follow:…”

Section: ) Model-ii: Actual Budget Adjustment Modelmentioning

confidence: 99%

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An Integrated Optimization Model for Life Cycle Pavement Maintenance Budgeting Problems

2022

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Driven by the demand to preserve the existing road pavement condition, the issue of selecting maintenance action at the appropriate time under budget limitation has attracted great attention from highway agencies. This study focuses on the strategy of how to manage pavement maintenance budget effectively on road network level based on life cycle cost analysis. The framework of resource-constrained project scheduling problem (RCPSP) is implemented to establish a maintenance action decision-making mechanism for allocating pavement maintenance budgets on the planning and controlling phases. In the RCPSP environment, a two-stage optimization model based on constraint programming techniques is developed to meet two different management goals such as 1. annual budget evaluation from planning points of view, and 2. actual budget adjustment from controlling points f view, by considering the factor of road usability. Model-I, the life cycle lifespan evaluation model solves the problem of annual budget evaluation to satisfy the maintenance requirements of all road sections. The optimal maintenance plan then can be made to maintain road performance and evaluate annual budget requirement for future years to maximize total maintenance benefits, in terms of the overall maximum pavement lifespan. Based on the suggested results of budget evaluation from Model-I, Model-II, the actual budget adjustment model deals with the actual budget allocation problem of how to keep up the original maintenance budget plan when the actual budget is always awarded insufficiently each year. Finally, the proposed two-stage integrated models provide an optimal maintenance strategy to respond to actual maintenance status and pavement deterioration as feedbacks to the actual budget adjustment model, and recursively make pavement maintenance strategy closer to actual conditions by budget adjustment yearly.

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Section: Literature Reviewmentioning

confidence: 99%

Section: ) Model-ii: Actual Budget Adjustment Modelmentioning

confidence: 99%

An Integrated Optimization Model for Life Cycle Pavement Maintenance Budgeting Problems

2022

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“…As a result, the pavement management problem has been recognized by its high computational complexity [24]. Therefore, recent advancements in pavement management have mainly focused on enhancing the computational performance by using more e cient optimization techniques such as evolutionary and genetic programming algorithms [13,15,[24][25][26]. The main objective sought by those researchers is to reduce the computational time and generate optimal solutions that are closer to the absolute ones.…”

Section: Introductionmentioning

confidence: 99%

Theoretical framework for incorporating routine maintenance long-term performance into pavement management using Markov chains

Abaza

2023

Preprint

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this paper proposes three different models for investigating the long-term performance of routine maintenance works using the discrete-time Markov model. The three models are called (M1, M2 & M3) models representing specific forms of the transition probability matrix. The (M1) model only incorporates the routine maintenance variables (Mi,i−1) under the assumption of only one-state upgrade. The (M2 & M3) models incorporate both routine maintenance variables (Mi,i−1), and major rehabilitation variables (Qi,1) under the assumption of upgrade to condition state (1). Two different modelling methods are proposed for pavement long-term performance investigation in the presence of maintenance and rehabilitation (M&R) variables. The first one is the project-level approach as applied to small pavement networks which assumes that all M&R works can be performed in a short-time period. The second one is the network-level approach which requires the M&R works to be spanned over the entire year as applied to large pavement networks. A model cost-effectiveness index is proposed to evaluate the long-term performance of potential M&R schedules under unconstrained annual budget, while M&R variable cost-effectiveness indices are proposed as useful parameters for yielding optimal M&R schedules under constrained annual budget. The sample results indicated the unrealistic performance of the (M1) model, and the usefulness of the (M2 & M3) models in yielding reliable long-term M&R schedules. The unconstrained approach indicated the optimal M&R schedule is the one associated with highest M&R variable values, and the constrained approach revealed that the optimal solutions are dominated by M&R variables with lowest cost-effectiveness indices.

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“…The NSGA-II and its improved algorithms are popular for solving MOO problems [17,18]. To address the high computation complexity associated with pavement maintenance at the network level, Hankach et al [19] developed a model to reduce the search space and formulated the original problem as a generalized assignment problem, which was a well-known problem in mathematical optimization. Ahmed et al [20] proposed a chaotic particle swarm optimization algorithm to find the optimal solution for pavement maintenance.…”

Section: Introductionmentioning

confidence: 99%

Pavement Maintenance Decision Making Based on Optimization Models

et al. 2021

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Pavement maintenance prioritization considering both quality and cost is an important decision-making problem. In this paper, the actual pavement condition index of city roads was calculated using municipal patrol data. A linear optimization model that maximized maintenance quality with limited maintenance costs and a multi-objective optimization model that maximized maintenance quality while minimizing maintenance costs were developed based on the pavement condition index. These models were subsequently employed in making decisions for actual pavement maintenance using sequential quadratic programming and a genetic algorithm. The results showed that the proposed decision-making models could effectively address actual pavement maintenance issues. Additionally, the results of the single-objective linear optimization model verified that the multiobjective optimization model was accurate. Thus, they could provide optimal pavement maintenance schemes for roads according to actual pavement conditions. The reliability of the models was investigated by analyzing their assumptions and validating their optimization results. Furthermore, their applicability in pavement operation-related decision making and preventive maintenance for roads of different grades was confirmed.

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A constraint-based, efficiency optimisation approach to network-level pavement maintenance management

Cited by 17 publications

References 51 publications

An Integrated Optimization Model for Life Cycle Pavement Maintenance Budgeting Problems

An Integrated Optimization Model for Life Cycle Pavement Maintenance Budgeting Problems

Theoretical framework for incorporating routine maintenance long-term performance into pavement management using Markov chains

Pavement Maintenance Decision Making Based on Optimization Models

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