| 摘要(英) |
The condition of transportation infrastructure is very important for the development of a country. If the condition of transportation infrastructure became better can not only improve people’s quality of life but also can promote the socio-economic prosperity. In order to improve the functionality of transportation infrastructure, the concept of life-cycle management has been introduced to the infrastructure maintenance decision-making process. Actually, transportation agencies measure the conditions of transportation facilities by instrument or manual inspection, and then make maintenance decisions based on the measurements and maintenance thresholds. However, most of the optimization methods generate pre-determined maintenance plans, which are incompatible with the workflow of the transportation management agencies and difficult to interpret. As a result, the pre-determined maintenance plans are not well accepted by transportation agencies in practice. This study uses threshold-based maintenance method, which can generate a set of thresholds, to achieve the optimal methods and to help transportation management agencies determine the facility maintenance actions as standard.
Considered the different deterioration and maintenance effects, this study uses hybrid dynamic mode (HDM) to describe the transportation infrastructure. The dynamic hybrid mode includes event generator, finite state machine, mode selector and switched systems. However, HDM is difficult to solve for large problems. Branch and bound, greedy algorithm, genetic algorithm is developed to increase the efficiency of HDM.
The road network of Dasi Township, Taoyuan County, is used as an example to verify the proposed methodology. Various levels of data are tested to analyze the differences between greedy algorithm and genetic algorithm. Finally, the conclusions and future directions for research are provided. |
| 參考文獻 |
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