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- W567202989 abstract "With shrinking pavement maintenance budgets and increasing maintenance needs, highway agencies are moving toward pavement preventive maintenance (PPM). However, due to the lack of analytical systems and sufficient data, many decisions made by highway administrators today are either judgmental or empirical. This paper presents a study of scheduling preventive maintenance (PM) on the project level for different pavement families based on conditions in Beijing, China. An optimization method is proposed to find the best PM strategy based on life-cycle cost benefit analysis. Pavement condition prediction models and treatment effectiveness models are developed and calibrated based on data collected from field investigations and a pavement management system (PMS) historical database in Beijing. Based on a case study, it is found that micro-surfacing and a 2.5 cm HMA overlay are the two most frequently employed PM treatments and that they are mainly applied when pavements are still in good condition. Maintenance cycles are mostly in the range of 3 to 5 years. A sensitivity analysis indicates that whether user cost is considered has a significant impact on the optimal PM strategy. However, the optimal strategy is not sensitive to variations in maintenance and user costs. The method developed in this paper can be applied to schedule PM in pavement management practices, and can also guide future research." @default.
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- W567202989 date "2012-01-01" @default.
- W567202989 modified "2023-09-26" @default.
- W567202989 title "Optimal Scheduling of Pavement Preventive Maintenance: Beijing Study" @default.
- W567202989 hasPublicationYear "2012" @default.
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