Constraint handling methods in pavement maintenance programming

Chan, Weng Tat; Fwa, T F; Hoque, K Z

doi:10.1016/s0968-090x(00)00023-1

Cited by 34 publications

(13 citation statements)

References 4 publications

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“…Chan et al (2001) reviewed methodologies used to handle constraints in GA optimisation and proposed a methodology (prioritised resource allocation method) that was shown to be computationally more efficient than the conventional techniques such as penalty methods and 'decode and repair'. 4 Golroo and Tighe (2012) conducted experiments to find the optimal GA settings (in terms of simulation number, mating operator methods and operators' probabilities) for solving complex maintenance optimisation problems.…”

Section: Genetic Algorithms: the State-of-the-art Optimisation Methodsmentioning

confidence: 99%

Optimising Road Maintenance

Harvey¹

2012

International Transport Forum Discussion Papers

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Section: Genetic Algorithms: the State-of-the-art Optimisation Methodsmentioning

confidence: 99%

Optimising Road Maintenance

Harvey¹

2012

International Transport Forum Discussion Papers

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“…Fwa et al [3] proposed a mathematical programming for routine network-level maintenance activities. Chan et al [4] presented a genetic algorithm based approach to allocate available resource in the pavement maintenance programming to maintain within a pavement network the highest possible level of serviceability. Chakroborty et al [5] presented a 0-1 linear integer programming to comprehensively determine maintenance strategies for a network of road sections.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiobjective Optimization for Pavement Network Maintenance and Rehabilitation Programming: A Case Study in Shanghai, China

Sun

Zhou

et al. 2020

Mathematical Problems in Engineering

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This study investigates the pavement network maintenance and rehabilitation (M&R) programming problem, over a certain planning horizon and in the context of limited funding. We designed an integer programming model to fulfill three purposes, namely, optimize the road conditions, minimize user disturbance costs, and minimize agency costs. We present a case study in which this model is applied to the pavement network of Shanghai. We investigate the results through the use of five M&R strategies, to identify the Pareto-optimal trade-offs inherent in developing pavement network M&R planning. The results demonstrate that there is a positive relationship between PCI improvement and user disturbance costs and between PCI improvement and agency costs. Additionally, we conduct a comparative analysis between agency and government-oriented strategies to evaluate the effectiveness and equity consideration. The findings suggest that the government-oriented strategy improves the pavement condition effectively with low user disturbance costs, and the agency-oriented strategy accounts for more equity consideration. Finally, we formulate an extension model that considers multiple road types, for application to pavement network M&R programming. The results show that light rehabilitation and preventive maintenance are the most frequently implemented treatments on arterial roads and secondary trunk roads from the case network implementation. This study helps decision-makers identify the trade-offs made when developing a pavement network M&R program.

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“…With the increase of the complexity of pavement maintenance decision-making modeling, the ability of the algorithm to obtain global or local optimal solutions is more and more important. Some accurate algorithms such as linear programming algorithm [21], gradient descent algorithm [22], branch and bound algorithm [23], etc. were introduced to solve the single-stage maintenance decision problems with a small feasible region.…”

Section: Literature Reviewmentioning

confidence: 99%

Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model

2019

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An optimal pavement maintenance strategy can keep the pavement performance at a high level under budget constraint. However, the impact of changes in traffic distribution caused by maintenance actions on user costs is rarely investigated in existing approaches. This research aims to solve the optimization of pavement maintenance strategy using a multi-stage dynamic programming model combined with the stochastic user equilibrium model, which can simulate the dynamic traffic distribution in the life cycle. To deal with the proposed model, a heuristic iterative algorithm is put forward. Ultimately, a hypothetical network is established to test the model and algorithm. The testing results prove that the proposed framework has an advantage in assessing user costs comprehensively and can provide an effective and optimal pavement maintenance strategy in a 30-year life cycle, which improves the efficiency of budget and pavement conditions. Additionally, this research provides quantitative evidence of interdependency in a road network, i.e., pavement maintenance actions on links can interfere with the user costs and traffic flow distribution in the whole network, which should be taken into account in pavement maintenance decision-making.

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Constraint handling methods in pavement maintenance programming

Cited by 34 publications

References 4 publications

Optimising Road Maintenance

Optimising Road Maintenance

Multiobjective Optimization for Pavement Network Maintenance and Rehabilitation Programming: A Case Study in Shanghai, China

Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model

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