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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 許添本 | |
dc.contributor.author | Ya-Lin Chen | en |
dc.contributor.author | 陳雅琳 | zh_TW |
dc.date.accessioned | 2021-06-17T01:19:39Z | - |
dc.date.available | 2020-08-14 | |
dc.date.copyright | 2017-08-14 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-08-11 | |
dc.identifier.citation | [1] Admussen, F. H. and Hyden, C. E.,“Proceeding of first workshop on traffic“Proceeding of first workshop on traffic conflicts,”Institute of Transport Economics, Oslo/Lund Technology,Oslo,Norway,1977
[2] Benjamin Coifman & Robert L. Bertini, Median Light Rail Crossings: Accident Causation and Countermeasures, April 1997 [3] Deacon, J. A., et al.,” Identification of Hazardous Rural Highway Locations”, Transportation Research Record 543, pp.16~33, 1975 [4] Hans W. Korve et al., Integration of Light Rail Transit into City Streets, TCRP17, Transportation Research Board,1996 [5] Hans W. Korve et al., Light Rail Services:Pedestrian and Vehicle,TCRP69, Transportation Research Board, 2001 [6] Haynes, J.(1895), Risk as an Economic Factor, Quarterly Journal of Economics, 9(4), pp 409-449. [7] Jack Stuster Zail Coffman & Davey Warren, Synthesis of Safety Research Related to Speed and Speed Management, Federal Highway Administration, July 1998 [8] Pecheux, Kelley Klaver. Light Rail Vehicle Collisions with Vehicles at Signalized Intersections. Vol. 79. Transportation Research Board, 2009. [9] Lai Zheng, Karim Ismail, and Xianghai Meng, Traffic conflict techniques for road safety analysis: open questions and some insights, Can. J. Civ. Eng. Vol. 41, 2014 [10] Light Rail Accident Involvement and Severity, Severity, Transportation Research Record 1521, Page 147-155,1996 [11] M. Lu & K. Wevers, Application of grey relational analysis for evaluating road traffic safety measures: advanced driver assistance systems against infrastructure redesign,IET Intell. Transp. Syst., Vol. 1, No. 1, March 2007 [12] Margarita N. & Manuel T. & Laetitia F.,LRT urban insertion and safety: European experiences, Transportation Research Board 2014 Annual Meeting, October 22nd, 2013 [13] Maurice Masliah et al., Improving Pedestrian and Motorist Safety Along Light Rail Alignments, TCRP 137, Transportation Research Board, 2009 [14] Pamela M. Fischhaber & Bruce N. Janson, Ten-Year Review of Light-Rail Crash Patterns Based on Alignment and Operational Configuration Type, Transportation Research Board 2014 Annual Meeting, Jan14,2014 [15] Perkins, S. R.,& Harris, J. I., Traffic Conflict characteristics accident potential at intersevtions.Research Laboraories,General Motors Corporation,1976 [16] UITP, Light Rail Transit- A Safe Means of Transport,2009 [17] 白豐源,「高速公路事故型態與易肇事路段研究」,逢甲大學交通工程與管理學系碩士在職專班碩士論文,民國101年。 [18] 交通部運研所,輕軌與公車捷運系統納管之研析(II)期末報告,民國95年。 [19] 江明穎,輕軌電車與一般車輛路口衝突風險分析之研究,民國95年,台灣大學土木工程研究所碩士論文, [20] 林育瑞,灰色理論應用於機車路邊停車收費地點評選之研究,民國96年12月,中華民國運輸學會96年學術論文國際研討會 [21] 林良泰、顏秀吉,交叉路口整體安全水準分析架構之研究,中華民國運輸學會第十一屆論文研討會,民國85年。 [22] 林柏湖,適用「未注意車前狀況」之情形與案例探討,101年道路交通安全與執法研討會。 [23] 張哲寧,建立風險決策模式於路段機車空間管制,民國105年,台灣大學土木工程研究所碩士論文 [24] 許添本,交通工程導向的易肇事地點分析方法與改善措施,都市交通,第七十三期,第12~32頁,民國82年12月。 [25] 許添本,交通安全設計與分析課堂講義 [26] 陳仕侖,2000,飛安事故之灰預測與灰關聯分析,淡江大學航空太空工程學系碩士論文。 [27] 温坤禮、趙忠賢、張宏志、陳曉瑩、溫惠筑,灰色理論(附光碟)Grey System Theory,五南文化事業機構,2013/03/04 [28] 葉名山、劉欣憲、蕭宜倫等人,易肇事路口分析-以台中市為例,民國97年,道路交通安全與執法研討會 [29] 劉中平,應用灰關聯分析於台灣地區國際商港海事事故,民國94年,海洋大學碩士論文 [30] 蔡銘聰,輕軌運輸系統道路安全檢核模式之建立,民國95年,台灣大學土木工程研究所碩士論文 [31] 鄧聚龍,灰色系统,北京,国防工业出版社,1985 [32] 蕭唯倫,應用資料探勘技術針對肇事碰撞型態建立路口分支風險和肇事因子模型,民國104年,台灣大學土木工程研究所碩士論文 [33] 賴淑芳,市區幹道不同路型之安全、速率與景觀分析,臺灣大學土木工程學研究所學位論文,民國94年 [34] 饒智平,交叉路口肇事風險安全檢核模式之構建與應用,運輸學刊,第九卷,第二期,第153~194頁,民國85年6月 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/67090 | - |
dc.description.abstract | 近年來台灣各地積極規劃引進輕軌運輸系統,輕軌設置於平面道路除了產生效率問題外,更重要的是影響了沿線交叉口之安全問題,至今已發生五起輕軌相關之肇事,而長期指派交通警察疏導並無法根本解決問題。有鑑於此,本研究透過文獻回顧、肇事資料和現場調查目前輕軌沿線交叉口,了解輕軌引進後肇事特性之變化,以及評比路口之安全性。
本研究主要分為肇事資料和實地調查數據分析和路口安全評估三大部分。第一部分肇事資料分析為透過交通安全評估法中的事前事後法,以肇事次數當量和加權嚴重性為評估路口安全指標,並進一步探討以碰撞型態和肇事原因區分肇事資料,了解輕軌設置後對路口整體用路人之影響,進而研擬交通工程改善措施。針對輕軌相關肇事,國外經驗指出多數原因來自於駕駛未遵守法規、未警覺道路環境或個人錯誤判斷所造成,因此第二部份利用攝影機錄製沿線交叉口之車流狀態,透過文獻擬定台灣可能出現的違規風險行為,評析其與道路環境因子之相關性。另外,本研究假設事故嚴重性與事故前車速有絕對相關,因此同時透過影像檔計算不同穿越軌道方向之車速,了解輕軌交叉口事故造成之嚴重性。最後第三部分以灰色理論中的灰關聯分析法分別對直行車和轉向車作評估,以違規風險行為次數、車速及路口潛在衝突點為安全評估指標,進而評比未來可能產生列車與汽機車碰撞之危險路口,並決定改善之次序。 本研究結果顯示,輕軌設置後之側撞件數顯著減少,「未依規定讓車」的肇事人數亦幅大下降。另外,違規風險行為主要和輕軌路線佈設有顯著相關,其影響大小依序為中央兩側雙向佈設、路側佈設、中央接路側佈設。在路口安全評估中,轉向車與直行車最需優先改善之路口分別為「凱旋/鎮興路口」、「凱旋/前鎮路口」。 本研究欲探討輕軌引進後對路口之安全性,並提出灰關聯分析法進行評比及決定改善優先順序。建議未來有足夠的輕軌相關事故件數下,可進一步建立一套更客觀的評估模式,推估肇事影響因子或預測未來肇事件數。 | zh_TW |
dc.description.abstract | In recent years, light rail transport system has constantly been planning and constructing in Taiwan. Light rail is placed in the surface intersection will generate not only efficiency problems but also affecting the safety of the intersection along LRT. The media has so far reported five accident reports about light rail. However, assignment of traffic police to ease cannot solve the problem. In view of this, this study through the literature review, accident information and field investigation of the current light rail along the intersection, to understand the change of accident`s characteristics before and after placing the LRT, as well as assessing and comparing the safety of intersections.
This study is divided into three parts: accident data analysis, field observation data analysis, and intersection safety assessment. The first part is through the before-and-after study used the equivalent number of accident and weighted severity value as the assessment of the intersection safety indicators. Additionally, we will explore the different collision types and contributor of the accident, understand the impact for all road users after setting up the LRT on the intersection and propose the traffic engineering improvement measures. Foreign experience pointed out that the majority of the contributors of the accident related to LRT is from the driver did not comply with laws and regulations, not alert to the road environment or personal misjudgment caused by. Thus, the second part of to collect traffic flow at the intersection by the digital video. Through the literature to develop possible violations of risk behavior in Kaohsiung, and then analyze its relevance with the road environment factors. In addition, this study assumed that the severity of the accident would be absolutely related to the vehicle speed before the accident, thus calculating the speed from the different way crossing the rail, to understand the seriousness of the accident. Finally, we used the grey relational analysis method of grey theory to assess the straight and steering vehicles, then evaluate the risk of the collision between the train and the motor vehicle in the future by the number of irregularities, the speed and the potential conflict point of the intersection, and determine the order of improvement. The results of the first part showed that the number of the side impact is significantly reduced after setting up the LRT, as well as decreased the offender. The second part showed that there are significant correlations between irregular risk behavior and LR route arrangement.In the road safety assessment of straight and steering vehicles, the most need to improve the intersection of the road were kaixuan zhenxing road and kaixuan qianzhen road. This study aims to discuss the safety of the intersection after constructing the light rail and make a gray correlation analysis to evaluate and decide to improve the priority order. It is suggested that if there has a sufficient number of LRT-related incidents, a more objective assessment model can be further established to estimate the impact factor or to predict the number of future events. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T01:19:39Z (GMT). No. of bitstreams: 1 ntu-106-R04521526-1.pdf: 3297520 bytes, checksum: 4b118f7df67bd6ed847a6cc4a9b3a162 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 口試委員會審定書 I
致謝 II 中文摘要 IV Abstract VI 目錄 IX 圖目錄 XII 表目錄 XIV 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 3 1.3 研究範圍 4 1.4 研究內容與流程 5 第二章 文獻回顧 7 2.1 輕軌之安全 7 2.2 路口安全評估法 14 2.2.1 肇事資料為基礎分析法 14 2.2.2 現場觀測為基礎分析法 17 2.3 灰色理論 22 2.4 綜合評析 24 第三章 肇事資料蒐集與分析 25 3.1 資料收集 26 3.2 輕軌設置前後路口安全分析 31 第四章 路口調查與分析 42 4.1 違規風險行為 42 4.1.1 資料收集 45 4.1.2 違規風險行為分析 46 4.2 路口車速 51 4.2.1 資料收集 51 4.2.2 路口車速分析 54 第五章 建立安全評估法 56 5.1 灰關聯度計算方式 59 5.2 輕軌沿線交叉口安全評估結果 61 5.3 案例探討—凱旋/鎮興路口 67 第六章 結論與建議 72 6.1 結論 72 6.2 建議 74 參考文獻 75 附錄A 路口簡介 78 附錄B 不同碰撞型態與肇事原因之統計檢定 80 | |
dc.language.iso | zh-TW | |
dc.title | 高雄輕軌沿線交叉口安全評估之研究 | zh_TW |
dc.title | Safety Assessment at Light Rail Intersections in Kaohsiung | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 黃台生,陳菀蕙 | |
dc.subject.keyword | 輕軌,交叉口,肇事資料,違規行為,灰關聯,路口安全評估, | zh_TW |
dc.subject.keyword | Light rail,intersection,accident data,illegal,grey relational analysis,intersection safety assessment, | en |
dc.relation.page | 82 | |
dc.identifier.doi | 10.6342/NTU201702957 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-08-11 | |
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 |
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