以知識本體技術與探勘方法探討台北都會區道路工程與管理系統之研究

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以知識本體技術與探勘方法探討台北都會區道路工程與管理系統之研究

The Study of Road Engineering and Management System Using Ontology Technology and Data Mining in Taipei Metropolitan Area

洪嘉澤 , Ph.D　　Advisor：黃偉慶;林志棟　　

繁體中文

路平專案；再利用材料；道路管理系統；資料探勘；知識本體； Road-smoothing project ； reclaimed asphalt pavement (RAP) ； Road management system ； Data Mining (DM) ； Ontology

Abstract │ Reference (114) │ Altmetrics

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As a result of increased road occupancy demands, the need for improved standards of pavement engineering has become apparent in recent years. However, the upgrading of road maintenance and management methods involves complex  management. The use of a management system for the execution of road maintenance and to make strategic decisions is the current trend for maintenance engineers. This study uses information obtained from the system database for the New Construction Offices of the Taipei City Government. Analysis of road sections must be performed in accordance with the road-smoothing project. First, we base our analysis on information from the International Roughness Index (IRI),  known the situation in Taipei city, followed by discussion of road deterioration trends and determination of the conservation threshold using regression analysis and the Artificial Neural Network (ANN) method. After addition, the urban traffic flow value are used in a discussion of the density of traffic and its relationship with the IRI index. A strategy for road maintenance is then proposed based on the survey results. For example, recycled materials from Taipei’s roads could be used for future road-smoothing projects as part of engineering lifecycle management.
Analysis of this engineering management system (EMS) is carried out using data mining methods for classification and association in order to find the hidden samples and unknown information. The extracted information is presented as a formal concept lattice, followed by a formal concept analysis (FCA). Through concept lattices we can know which knowledge is more important and what the road damage ratio for Taipei’s roads is. The goal of this study is to create a knowledge database using Ontology's Conceptualization, Shared, Formal and Explicit properties to create a Semantic Web to integrate the current engineering systems and upgrade the usability of these system. Finally we design an  interactive interface for spatial property investigation and later carry out a case study with the proposed system and knowledge database which should benefit engineers, domain experts and lead to a multiple web-based GI service in the future.

Reference ( 114 ) 〈TOP〉

交通部運輸研究所 (2011)，「台灣公路容量手冊」，交通部運輸研究所，台北。
連結：
朱良斌 (2012)，「臺北市政府推動路平專案執行策略與成效之研究」，碩士論文，國立台北科技大學土木與防災研究所，台北。
連結：
行政院國家永續發展委員會 (2009)，「永續發展政策綱領」，行政院公共工程委員，台北。
連結：
李子寧 (2013)，「道路管線施工品質管理機制之研究」，碩士論文，國立台北科技大學土木與防災研究所，台北。
連結：
林顯堂 (2009)，「以知識本體為基礎之特定領域文件段落擷取方法及應用」，博士論文，國立台灣大學土木工程學系，台北。
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