碩士 / 國立中央大學 / 土木工程研究所 / 99 / Transportation infrastructure management deals with maintenance decision-making of
transportation facilities such as pavements and bridges. Various methodologies have been
adopted to determine the optimal allocation of limited funds over multiple-periods. Optimal
control is the state-of-the-art methodology for maintenance decision-making. However, the
methodology has three major limitations. First, most of the models adopting optimal control
generate highly detailed plans that contain maintenance policy for every facility at every time
period. These plans are not well-accepted by transportation agencies because they are
incompatible with their workflows for pavement management, i.e., threshold-based
maintenance. Second, these models are difficult to solve so simple deterioration and
maintenance effectiveness models are generally assumed. Third, the interdependencies
between facilities are often ignored.
Therefore, to address the above limitations, this paper formulates the problem as a
dynamic hybrid model to find the optimal thresholds considering available budgets. Dynamic
hybrid systems are easy to formulate with logical statements but logical statements are
difficult to optimize. The conversion between the logical statements and mathematical
programming is thus discussed. The user equilibrium for traffic flow is also introduced in the
problem to consider facility interdependency. As a result, a bi-level programming problem has
to be formulated. The problem is solved with Tabu search algorithm. Further, the technique of
decomposition is used to speed up the solution process. Finally, to test the methodology, a
numerical example is conducted to find the optimal thresholds under different budgets.
Identifer | oai:union.ndltd.org:TW/099NCU05015103 |
Date | January 2011 |
Creators | Yin-jie Chen, 陳殷捷 |
Contributors | Chih-yuan Chu, 朱致遠 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | zh-TW |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 85 |
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