請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40392
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 周家蓓 | |
dc.contributor.author | Chih-Yang Teng | en |
dc.contributor.author | 鄧智陽 | zh_TW |
dc.date.accessioned | 2021-06-14T16:46:28Z | - |
dc.date.available | 2009-08-06 | |
dc.date.copyright | 2008-08-06 | |
dc.date.issued | 2008 | |
dc.date.submitted | 2008-07-30 | |
dc.identifier.citation | [1] 陳弘章,「應用慣性式平坦儀量測數據於道路整建平坦度驗收之研究」,國立臺灣大學土木工程學研究所碩士論文,民國95年10月
[2] 林元生,「智慧型鋪面檢測車應用於鋪面平坦度之研究」,國立中央大學土木工程學研究所碩士論文,民國93年6月 [3] Wangxin Xiao, Xinping Yan and Xue Zhang, “Pavement Distress Image Automatic Classification Based om DENSITY-Based Neural Network”, National Basic Research Program of China, 2006, pp685-692 [4] Y. Huang and Bugao Xu, “Automatic Inspection of Pavement Cracking Distress”, Project No. 5-4975-01, Texas Department of Transportation, 2006 [5] H. D. Cheng, Jim-Rong Chen, Chris Glazier and Y. G. Hu, “Novel Approach to Pavement Cracking Detection Based on Fuzzy Set Theory”, Journal of Computing in Civil Engineering, ASCE, Vol. 13, No. 4, October 1999, pp.270-280 [6] H. D. Cheng, X. J. Shi and C. Glazier, “Real-Time Image Thresholding Based on Sample Space Reduction and Interpolation Approach”, Journal of Computing in Civil Engineering, ASCE, Vol. 17, No. 4, October 1, 2003, pp264-272 [7] 廖子凱,「影像處理應用於鋪面破壞辨識之研究」,國立臺灣大學土木工程學研究所碩士論文,民國83年6月 [8] 蔣子平,「類神經及模糊集理論於評估柔性鋪面裂縫破壞之應用」,國立成功大學土木工程學研究所碩士論文,民國87年6月 [9] Kelvin C. P. Wang, “Challenges and Feasibility for Comprehensive Automated Survey of Pavement Condition”, Application of Advanced Technology in Transportation, May 26, 2004, pp531-536 [10] 蕭翔駿,「整合雷射與數位影像技術於鋪面車轍量測設備之研究」,國立臺灣大學土木工程學研究所碩士論文,民國93年6月 [11] Kelvin C. P. Wang and Weiguo Gong, “Real-Time Automated Survey System of Pavement Cracking in Parallel Environment”, Journal of Infrastructure Systems, ASCE, Vol. 11, No. 3, September 1, 2005, pp154-164 [12] Liang-Chien Chen. Yi-Chen Shao, Huang-Hsiang Jan, Chen-Wei Huang, and Yong-Ming Tien, “Measuring System for Cracks in Concrete Using Multitemporal Images”, Journal of Surveying Engineering, ASCE, Vol. 132, No. 2, May 1, 2006, pp77-82 [13] Kelvin C. P. Wang, Qiang Li and Weiguo Gong, “Wavelet-based pavement distress image edge detection with “À Trous” algorithm”, Transportation Research Board 2007 Annual Meeting [14] Alexander Mraz, Saumya Amarasiri, Manjriker Gunaratne and Abdenour Nazef, “An Innovative Method for Enhancing Pavement Crack Images”, Transportation Research Board 2007 Annual Meeting [15] Angela Wolters, Max Grogg, Kathryn Zimmerman and John Cunningham, “Distress Collection for the City of Philadelphia with an Emphasis on Assessing the Impact of Utility Patching on the Network”, 14th Annual RPUG Meeting, 2002 [16] Jonathan L. Groeger, Peter Stephanos, Paul Dorsey and Mark Chapman, “Implementation of Automated Network Level Crack Detection Processes in the State of Maryland” 14th Annual RPUG Meeting, 2002 [17] Dennis Morian, Shelley Stoffels and Douglas J. Frith, “Quality Management of Pavement Performance Data”, 14th Annual RPUG Meeting, 2002 [18] Hosin “David” Lee and Kihyoung “Jeffery” Kang, “Development of Automated Pavement Distress Measurement System Following New AASHTO Provisional Protocol”, 14th Annual RPUG Meeting, 2002 [19] Gregory D. Cline, Mohamed Y. Shahin and Jeffrey A. Burkhalter, “Automated Pavement Condition Index Survey”, 14th Annual RPUG Meeting, 2002 [20] Shawn Landers, Michael Robson and Lynne Cowe Falls, “Development of Quality Assurance and Control Procedures for Network Level Contract Pavement Surface Condition Surveys”, 14th Annual RPUG Meeting, 2002 [21] Kelvin C. P. Wang and Weiguo Gong, “Automated Pavement Distress Survey:A Review and A New Direction”, 14th Annual RPUG Meeting, 2002 [22] “Pavement Surface Condition Rating”, British Columbia Ministry of Transportation, March, 2002 [23] “Mn/DOT Distress Identification Manual”, Minnesota Department of Transportation, February, 2003 [24] 交通部交通技術標準規範公路類公路工程部,「公路養護手冊」,民國92年3月 [25] Richard W. Miller, Monika Raman, Mustaque Hossain, Gaylord Cumberledge, Jennifer Reigle, Hosin “David” Lee and Kihyoung “Jeff” Kang, “Comparison of Image-Based Distress Survey Results with Manual Distress Surveys for Transverse Cracking”, Transportation Research Board 2003 Annual Meeting [26] 李長青,「線掃瞄式照相機應用於鋪面破壞影像調查之研究」,國立中央大學土木工程學研究所碩士論文,民國94年6月 [27] Jungyong “Joe” Kim and Hosin “David” Lee, “Development of Lane Marking Detection Algorithm for Automated Pavement Image Analysis System”, Department of Civil and Environmental Engineering, University of Iowa, 2005 [28] Petra Offrell, Leif Sjögren and Rolf Magnusson, “Repeatability in Crack Data Collection on Flexible Pavements:Comparison between Surveys Using Video Cameras, Laser Cameras, and a Simplified Manual Survey”, Journal of Transportation Engineering, ASCE, Vol. 131, No. 7, July 1, 2005, pp552-562 [29] Kelvin C. P. Wang, “Automation of Pavement Surface Distress Survey through Parallel Processing”, Transportation Research Board 2007 Annual Meeting [30] Susan L. Tighe, Li Ningyuan and Tom Kazmierowski, “Evaluation of Semi-Automated and Automated Pavement Distress Collection for Network Level Pavement Management”, Transportation Research Board 2008 Annual Meeting [31] Stephen Tsao, Nasser Kehtarnavaz, Paul Chan and Robert Lytton, “Image-Based Expert-System Approach to Distress Detection on CRC Pavement”, Journal of Transportation Engineering, ASCE, Vol. 120, No. 1, January/February. 1994, pp52-64 [32] H. D. Cheng, Liming Hu, Xiangjun Shi, C. Glazier, and G. Kuhl, “A Comparative Study on Automated Pavement Crack Detection and Classification Systems”, Proceedings of Joint Conference on Information Science 2005, the 6th International Conference on Computer Vision, Pattern Recognition and Image Processing, Salt Lake City, USA, pp. 733-736, ISBN: 0-9707890-3-3, 2005. [33] Shahin, M.Y., “Pavement Management for Airports, Roads, and Parking Lots”, Chapman & Hall, New York, London, 1994. [34] 內政部營建署,「市區道路柔性鋪面損壞調查手冊」,民國91年4月 [35] Chhote L. Saraf, “Pavement Condition Rating System Review of PCR Methodology”, Report OH-99/004, FHWA, Ohio Department of Transportation, 1998. [36] “An Overview of Mn/DOT’s Pavement Condition Rating Procedures and Indices”, Minnesota Department of Transportation, March, 2006 [37] Lee, H., “Standardization of Distress Measurements for the Network-Level Pavement Management System”, Pavement Management Implementation, ASTM STP 1121, Frank B. Holt and Wade L. Gramling, Eds., American Society for Testing and Materials, Philadelphia, 1992 [38] “Evaluation of Rubblized Pavement Sections in Michigan Constructed between 1988 and 2002 Final Report”, Applied Pavement Technology, Inc., December, 2006 [39] C. E. Pierce, R. L. Baus and D. J. Wang, “Using Historical Pavement Condition Data to Calibrate South Carolina’s Performance Prediction Models”, Transportation Research Board 2003 Annual Meeting [40] Utah Department of Transportation website, http://www.udot.utah.gov/main/f?p=100:pg:1594831487200005106::::V,T:,1609 [41] “Pavement Surface Condition Rating”, British Columbia Ministry of Transportation, March, 2002 [42] 小坂寛巳,奥平真誠,「舖裝の維持修繕」,建設図書 [43] Roadware Group Inc., http://www.roadware.com/products_services/aran/ [44] ARRB Group Ltd., http://arrb.com.au/ [45] WayLink Systems Corporation, http://www.waylink.com/ [46] Mandli Communications, Inc., http://www.mandli.com/ [47] Pathway services Inc., http://www.pathwayservices.com/ [48] 株式会社パスコ(PASCO-REAL),http://www.pasco.co.jp/measure/ground/real/ [49] 日本囯際航業株式会社,http://www.kkc.co.jp/enterprise/it/move.html [50] 日本三菱重工,http://www.mhi.co.jp/news/sec1/040216.html [51] NICHIREKIニチレキ株式会社,http://www.nichireki.co.jp/prod/prod_list11/prod11_01.html [52] 中日本ハイウエイ. エンジニアリング東京(株),「道路管理評價システム」,2003 [53] Nu-Metrics, “NITESTAR MODELS NS-50/NS-60 installation & operation reference guide”, 2002 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/40392 | - |
dc.description.abstract | 自動化鋪面破壞檢測系統已成為世界各國管理鋪面狀況之輔助工具,配合鋪面平坦儀等資料之收集,評估道路鋪面績效,作為養護與維修參考策略之依據。我國目前以鋪面狀況指標評估鋪面損壞之情形,然而,地方道路養護管理機關因人力分配與經費不足等問題,造成鋪面管理成效不彰。因此,使用有效率的方式管理鋪面績效為未來發展之主要課題。
本研究透過實驗設計過程,針對柔性鋪面進行現地調查,收集自動化鋪面破壞檢測系統影像與人工調查資料,進行結果分析並綜合比較。鋪面破壞檢測系統因市區道路中過於頻繁之補綻與管線挖埋回填、各種干擾因素等複雜道路背景而造成結果較不理想。其經過本研究嘗試以灑水方式改善裂縫特徵,結果發現於柔性鋪面確實可增加分析軟體判斷裂縫之能力。此外,經由半自動調查和人工調查探討不同結果之差異。 本研究以半自動調查與人工調查兩種方式總花費時間進行分析,指出使用半自動總時間(平均36.49分鐘)均大於人工調查方式(平均13.03分鐘)之時間,顯示利用儀器收集影像後,進行影像瀏覽並紀錄破壞,較人工於現地觀察並紀錄破壞花費較多時間,且接近三倍。另外,使用自動化方式收集影像時,實地檢測時間則遠較人工調查少,派遣人力亦可減少。且國內交通錯綜複雜,以肉眼判斷鋪面破壞裂縫容易受到影響。因此,使用自動化方式調查可快速獲得資料且保障人員之安全。 | zh_TW |
dc.description.abstract | Automated Pavement Distress Detection System (APDDS) has been a useful tool for pavement management in the world. APDDS can evaluate pavement performance and make maintenance and reconstruction(M&R)decisions based on distress and roughness data, it. In Taiwan, road authorities use pavement condition indices to evaluate pavement condition. However, insufficient labor and budget cause inefficient management works. Therefore, using efficient way to manage pavement performance is an important issue in the future.
This study investigates several flexible pavement sections and collects automated/manual pavement distress data according to experiment design. Further, the data are analyzed and compared. It was found that the data collected by APDDS are undesirable due to frequent patches and other inferences. However, this study found that the ability of detecting cracks in PicCrack could be improved by spraying water on flexible pavement. In addition, this study discussed the differences of automatically/manually-collected survey results. This study analyzes the total time needed in semi-automated and manual survey. The results show that in all sections the total time needed in semi-automated survey (average 36.49 minutes) is longer than the total time needed in manual survey (average 13.03 minutes). This phenomenon indicates that using APDDS to collect image data takes more time because the surveyors have to go through the data and note down distresses. However, using APDDS can obviously reduce the time and labor during field survey. Moreover, manual field survey is easily affected by complex traffic condition in Taiwan. Therefore, by using APDDS, road data could be obtained quickly and the safely of surveyor could be protected. | en |
dc.description.provenance | Made available in DSpace on 2021-06-14T16:46:28Z (GMT). No. of bitstreams: 1 ntu-97-R95521510-1.pdf: 22922835 bytes, checksum: 53dcc4b873b7e9ecb08292943ab4276e (MD5) Previous issue date: 2008 | en |
dc.description.tableofcontents | 第一章 緒論…………………………………………………………………………1
1.1 研究緣起……………………………………………………………………….1 1.2 研究目的……………………………………………………………………….2 1.3 研究範圍……………………………………………………………………….2 1.4研究內容與方法………………………………………………………………..2 1.5 研究流程……………………………………………………………………….3 第二章 文獻回顧……………………………………………………………………5 2.1 自動化鋪面破壞檢測發展演進……………………………………………….5 2.1.1鋪面影像處理…………………………………………………………...6 2.1.2鋪面破壞調查分析與自動化鋪面破壞檢測設備發展………………...8 2.2 自動化鋪面破壞檢測面臨之困境…………………………………………….9 2.3 鋪面破壞指標回顧…………………………………………………………...11 2.3.1鋪面狀況指標(Pavement Condition Index, PCI)……………………..11 2.3.2鋪面狀況評級(Pavement Condition Rating, PCR)…………………...12 2.3.3路表評級(Surface rating, SR)…………………………………………15 2.3.4統一裂縫指標(Unified Crack Index, UCI)……………………………16 2.3.5其它鋪面破壞指標…………………….………………………………17 2.4 柔性鋪面狀況指標人工調查流程…………………………………………...18 2.4.1鋪面破壞調查方式…………………………………………………….19 2.4.2鋪面破壞調查內容與程序…………………………………………….19 2.4.3鋪面破壞調查計算方法……………………………………………….21 2.5 自動化鋪面破壞檢測設備介紹……………………………………………...23 2.5.1自動化鋪面檢測儀器………………………………………………….23 2.5.2路面攝影系統………………………………………………………….31 2.5.3自動化鋪面破壞檢測設備小結……………………………………….34 第三章 實驗設計…………………………………………………………………..35 3.1 自動化鋪面破壞檢測實驗儀器……………………………………………...35 3.1.1自動化鋪面破壞檢測實驗儀器架構………………………………….35 3.1.2距離感測器校正程序………………………………………………….38 3.2 鋪面破壞影像操作軟體……………………………………………………...39 3.2.1影像擷取軟體PaveInspect操作程序………………………………….39 3.2.2影像分析軟體PicCrack操作程序……………………………………..41 3.3 自動化鋪面破壞檢測調查計畫與流程……………………………………...56 3.3.1自動化鋪面破壞檢測調查計畫……………………………………….56 3.3.2自動化鋪面破壞檢測調查流程……………………………………….62 第四章 鋪面破壞檢測資料分析…………………………………………………..65 4.1 自動化調查統一裂縫指標比對分析………………………………………...65 4.1.1單一鋪面影像比對…………………………………………………….65 4.1.2使用灑水前後方式比對鋪面破壞特徵……………………………….80 4.1.3鋪面影像比對分析小結……………………………………………….95 4.2 人工與半自動調查統一裂縫指標結果分析………………………………...95 4.2.1人工與半自動統一裂縫指標值分佈………………………………….95 4.2.2人工與半自動統一裂縫指標值之差異……………………………….96 4.3 人工與半自動調查鋪面狀況指標結果分析………………………………...98 4.3.1人工與半自動鋪面狀況指標值分佈………………………………….98 4.3.2人工與半自動鋪面狀況指標值之差異……………………………….99 4.4鋪面破壞檢測分析整理……………………………………………………..102 第五章 人工調查與半自動化鋪面破壞調查效益分析…………………………103 5.1 人工調查鋪面狀況指標時間分佈………………………………………….103 5.1.1「人工調查總時間」與「路段總長度」之分佈…………………………103 5.1.2「人工調查總時間」與「破壞計數」之分佈……………………………105 5.1.3「資料輸入與計算時間」及「調查時間」與「破壞計數」之分佈………106 5.1.4人工調查時間小結…………………………………………………...107 5.2 半自動調查鋪面狀況指標時間分佈……………………………………….108 5.2.1「半自動調查總時間」與「路段總長度」之分佈………………………108 5.2.2「半自動調查總時間」與「破壞計數」之分佈…………………………110 5.2.3「調查時間」、「半自動分析時間」及「資料輸入與計算時間」與「破壞計數」之分佈……………………………………………………….110 5.2.4自動化調查時間小結…………………………………………………113 5.3 人工調查與半自動鋪面破壞調查效益綜合比較………………………….114 第六章 自動化鋪面破壞檢測系統程序之探討…………………………………119 第七章 結論與建議………………………………………………………………123 7.1結論…………………………………………………………………………..123 7.2建議…………………………………………………………………………..124 參考文獻……………………………………………………………………………125 附錄 A……………………………………………………………………………...131 附錄 B……………………………………………………………………………...139 附錄 C……………………………………………………………………………...141 | |
dc.language.iso | zh-TW | |
dc.title | 自動化鋪面破壞檢測系統之研究 | zh_TW |
dc.title | Automated Pavement Distress Detection System | en |
dc.type | Thesis | |
dc.date.schoolyear | 96-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 陳建旭,郭振銘 | |
dc.subject.keyword | 鋪面自動化檢測,鋪面破壞,鋪面狀況指標PCI,統一裂縫指標UCI,鋪面破壞調查時間成本, | zh_TW |
dc.subject.keyword | Automated pavement distress detection,Pavement distress,Pavement Condition Index(PCI),Unified Crack Index(UCI),Pavement condition survey time cost, | en |
dc.relation.page | 156 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2008-07-31 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
顯示於系所單位: | 土木工程學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-97-1.pdf 目前未授權公開取用 | 22.39 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。