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机构地区:[1]Department of Mathematics,College of Sciences,Shanghai University [2]School of Management,Fudan University
出 处:《Journal of Shanghai University(English Edition)》2010年第3期217-222,共6页上海大学学报(英文版)
基 金:Project supported by the National Natural Science Foundation of China (Grant No.70671064)
摘 要:With the rapid development of highway construction and formation of the highway network in China,the man- agement of pavement maintenance and rehabilitation (MR) activities has become important.In this paper,four discrete optimization models are proposed for different parties involved in the management system: government,highway agent,con- tractor and the common users.These four optimal decision models are formulated as linear integer programming problems with binary decision variables.The objective function and constraints are based on the pavement performance and prediction model using the pavement condition index (PCI).Numerical experiments are carried out with the data from a highway system in Sichuan Province which show the feasibility and effectiveness of the proposed models.With the rapid development of highway construction and formation of the highway network in China,the man- agement of pavement maintenance and rehabilitation (MR) activities has become important.In this paper,four discrete optimization models are proposed for different parties involved in the management system: government,highway agent,con- tractor and the common users.These four optimal decision models are formulated as linear integer programming problems with binary decision variables.The objective function and constraints are based on the pavement performance and prediction model using the pavement condition index (PCI).Numerical experiments are carried out with the data from a highway system in Sichuan Province which show the feasibility and effectiveness of the proposed models.
关 键 词:operations research optimization pavement management system linear integer programming models and nu- merical experiment
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