Modeling the Optimal Maintenance Scheduling Strategy for Bridge Networks

An optimal maintenance scheduling strategy for bridge networks can generate an efficient allocation of resources with budget limits and mitigate the perturbations caused by maintenance activities to the traffic flows. This research formulates the optimal maintenance scheduling problem as a bi-level...

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Bibliographic Details
Published in:Applied sciences 2020-01, Vol.10 (2), p.498
Main Authors: Mao, Xinhua, Jiang, Xiandong, Yuan, Changwei, Zhou, Jibiao
Format: Article
Language:English
Subjects:
Algorithms
bi-level programming model
Bridge maintenance
bridge network
Budgets
Crews
Decision making
Dynamic programming
Highway bridges
Infrastructure
Integer programming
Linear programming
Literature reviews
Maintenance costs
Maintenance management
Markov analysis
Mathematical programming
Monte Carlo simulation
Nonlinear programming
optimal maintenance scheduling strategy
Optimization
Resource allocation
Roads & highways
Scheduling
Sensitivity analysis
Simulated annealing
simulated annealing algorithm
Traffic assignment
Traffic delay
traffic delays
Traffic flow
Transportation planning
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Summary:An optimal maintenance scheduling strategy for bridge networks can generate an efficient allocation of resources with budget limits and mitigate the perturbations caused by maintenance activities to the traffic flows. This research formulates the optimal maintenance scheduling problem as a bi-level programming model. The upper-level model is a multi-objective nonlinear programming model, which minimizes the total traffic delays during the maintenance period and maximizes the number of bridges to be maintained subject to the budget limit and the number of crews. In the lower-level, the users’ route choice following the upper-level decision is simulated using a modified user equilibrium model. Then, the proposed bi-level model is transformed into an equivalent single-level model that is solved by the simulated annealing algorithm. Finally, the model and algorithm are tested using a highway bridge network. The results show that the proposed method has an advantage in saving maintenance costs, reducing traffic delays, minimizing makespan compared with two empirical maintenance strategies. The sensitivity analysis reveals that traffic demand, number of crews, availability of budget, and decision maker’s preference all have significant effects on the optimal maintenance scheduling scheme for bridges including time sequence and job sequence.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10020498