A new approach to multiyear maintenance and rehabilitation (M&R) optimization programming for pavement network management is discussed; the approach can be used to help highway agencies make strategic decisions in choosing the optimal investment for their pavement networks. The M&R treatments are standardized in terms of costs, benefits, and performance impacts on the existing pavements. Each standardized pavement treatment strategy, ranging from minor and routine maintenance to major rehabilitation or reconstruction, is defined by its effect and improvement on the existing pavement serviceability. The optimization model is a cost-effectiveness-based integer M&R programming on a year-by-year basis. The objective of the optimization system is to select the most effective M&R projects for each programming year. The optimization system can also be used to calculate the minimum budget requirements for maintaining a prescribed level of the pavement network performance or serviceability. In such a case, sensitivity analysis can be performed to evaluate the annual budget effect on individual pavement performance. The prediction of individual pavement deterioration is modeled as a time-related (nonhomogeneous) Markov transition process. The investigation described was primarily concerned with integration of the performance prediction model, the standardized M&R treatments, and the network optimization process. The principle and methodology developed can be applied to different levels of pavement network management. Finally, a sample application of the integrated pavement optimization model is demonstrated.
A new optimization model and priority programming for pavement network maintenance and rehabilitation management are described. The optimization formulation is directed to determining the most cost-effective treatment action plans for preserving the pavement network’s serviceability above a specified level. The priority programming is conducted on a year-by-year basis, whereas a comprehensive prediction model for pavement deterioration versus time is considered. It is governed by traffic volume, pavement performance, a set of designed standard treatment alternatives, and budget limitations for network preservation. Each standardized pavement treatment alternative, including minor and major maintenance and rehabilitation, is defined by its effect on or level of improvement of the existing pavement surface quality and the corresponding costs. The effectiveness is calculated as a yearly product of the area under the performance curve and a minimum acceptable pavement condition index level multiplied by pavement length, traffic volume, and service days. The costs for applying any one of the standardized alternative treatments are expressed on a present worth basis. The prediction for each individual pavement deterioration is modeled as a time-related (nonhomogeneous) Markov transition process, in which pavement structural and functional improvements upon application of a treatment action are considered. The focus is on an integrated approach to pavement network preservation programming through cost-effectiveness analysis and comprehensive performance prediction in combination with standardized pavement treatment strategies. A case study application to a regional asphalt pavement network in Ontario, Canada, illustrates the use of the optimization model. The priority programming is practical and flexible with regard to the size of a road network, and the results of the example run are discussed.
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