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Title: Simultaneous Modeling for Pavement Performance Prediction and Optimal Resource Allocation: Goal Programming Approach with an Embedded Markov Decision Process
Accession Number: 01372788
Record Type: Component
Abstract: Many studies have used Markov chain method for prediction of pavement deterioration condition, while separating the prediction phase from resource allocation planning process. In this paper, a new model is developed for simultaneous pavement condition prediction and resource allocation optimization based on the Markov chain method. This model accounts for various rehabilitation scenarios that may be used to improve pavement condition while at the same time allocating available resources. Different states of pavement deterioration at network-level correspond to different pavement condition statuses (PCS) that impress different importance for the decision-makers. Each part of the network in each status has different values compared to other statuses. In this research, separate objective functions are developed to determine what proportions of the network fall into each status. This model is suited for strategic network-level resource allocation planning. The proposed model is applied to an example network to illustrate the applicability of the model.
Supplemental Notes: This paper was sponsored by TRB committee AFD10 Pavement Management Systems
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-2073
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Babaei, MohsenNaderan, AliPagination: 20p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Highways; Maintenance and Preservation; Pavements; I60: Maintenance
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-2073
Files: TRIS, TRB
Created Date: Feb 8 2012 5:07PM
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