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DissertationShuoWang111914.pdf (8.08 MB)

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Optimization Models for Network-Level Transportation Asset Preservation Strategies

Wang, Shuo
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1416578565

Abstract Details

2014, Doctor of Philosophy, University of Toledo, Civil Engineering.
The aging transportation network and significantly constrained budget environment in the U.S. have prompted many transportation agencies to search for optimal asset preservation strategies. This dissertation presents the development and implementation of a network-level, multiple-year optimization process for managing multiple transportation assets. The optimal preservation strategy is determined in three stages. At the first stage, the relative importance of different asset types is estimated using the analytic hierarchy process (AHP) method to include consideration of various factors such as asset value, asset condition, and safety. A linear programming model is established to determine the optimal budget allocation and treatment policy considering multiple asset types simultaneously. At the second stage, work plans for each asset component are generated based on the network-level optimization results and using project selection models based on AHP method and multiple attribute utility theory (MAUT). At the third stage, the selected projects are further optimized considering the geographic locations by project coordination models based on constraint programming and integer programming. The objective of project coordination is to maximize the total number of the projects that can be combined to achieve cost savings, by rescheduling some projects subject to budget constraints and project timing constraints. The main advantages of the optimization models developed in this study are the ability to generate the optimal budget allocation among different asset types and various rehabilitation treatments, forecast future asset condition, generate candidate project lists for a large scale transportation network, and coordinate multiple asset projects in nearby locations. A set of example problems were solved using the four-lane divided highway network in District 2 of Ohio. Pavement and bridges were the two types of assets considered. The results show that the proposed models can be used by transportation agencies to support their cross-asset management decisions.
Eddie Chou (Committee Chair)
Defne Apul (Committee Member)
Liangbo Hu (Committee Member)
George Murnen (Committee Member)
Hongyan Zhang (Committee Member)
173 p.
Engineering; Operations Research; Transportation
Optimization; Transportation Asset Management; Preservation; Multiple Criteria Decision Making; Constraint Programming

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Citations

  • Wang, S. (2014). Optimization Models for Network-Level Transportation Asset Preservation Strategies [Doctoral dissertation, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1416578565

    APA Style (7th edition)

  • Wang, Shuo. Optimization Models for Network-Level Transportation Asset Preservation Strategies. 2014. University of Toledo, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1416578565.

    MLA Style (8th edition)

  • Wang, Shuo. "Optimization Models for Network-Level Transportation Asset Preservation Strategies." Doctoral dissertation, University of Toledo, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1416578565

    Chicago Manual of Style (17th edition)

toledo1416578565
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© 2014, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.