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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 土木工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5135
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dc.contributor.advisor賴勇成(Yung-Cheng Lai)
dc.contributor.authorHong-Yu Chuen
dc.contributor.author朱泓宇zh_TW
dc.date.accessioned2021-05-15T17:52:24Z-
dc.date.available2019-09-05
dc.date.available2021-05-15T17:52:24Z-
dc.date.copyright2014-09-05
dc.date.issued2014
dc.date.submitted2014-08-11
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18. Dingler, M.H. (2010), “The Impact of Operational Strategies and New Technologies on Railroad Capacity”, Master of Science Thesis, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL.
19. Dingler, M.H., Lai, Y.C., and Barkan, C.P.L. (2013), “Effect of Train Type Heterogeneity on Single-Track Heavy Haul Railway Line Capacity”, Journal of Rail and Rapid Transit, doi: 10.1177/0954409713496762.
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25. Jong, J. C., Chang, E. F., and Huang, S. H. (2009), “A Railway Capacity for Estimating Hourly Throughputs with Mixed Traffic and Complex Track Layouts”, Proceedings, 3th International Seminar on Railway Operations Modelling and Analysis Engineering and Optimisation Approaches, Zurich, Switzerland.
26. Jong, J.C., Lai, Y.C., Huang, S.H., and Chiang, P.C. (2011), “Development and Application of Rail Transit Capacity Models in Taiwan”, Transportation Research Record - Journal of the Transportation Research Board, No. 2216, pp.125-138.
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29. Lai, Y.C. (2008), “Increasing Railway Efficiency and Capacity Through Improved Operations, Control and Planning”, Ph.D. Dissertation, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL.
30. Lai, Y.C. and Barkan, C.P.L. (2009), “An Enhanced Parametric Railway Capacity Evaluation Tool”, Transportation Research Record - Journal of the Transportation Research Board, No. 2117. pp. 33-40.
31. Lai, Y.C., and Wang, S.H. (2012), “Development of Analytical Capacity Models for Conventional Railways with Advanced Signaling Systems”, ASCE Journal of Transportation Engineering, Vol. 138, No. 7, pp. 961–974.
32. Lai, Y.C., Shih, M.C., and Jong, J.C. (2010), “Railway Capacity Model and Decision Support Process for Strategic Capacity Planning”, Transportation Research Record - Journal of the Transportation Research Board, No. 2197, pp. 19-28.
33. Landex, A. (2009), “Evaluation of Railway Networks with Single Track Operation Using the UIC 406 Capacity Method”, Networks and Spatial Economics, Vol. 9, No. 1, pp. 7-23.
34. Lindner, T. (2011), “Applicability of the Analytical UIC Code 406 Compression Method for Evaluating Line and Station Capacity”, Journal of Rail Transport Planning & Management, Vol. 1, No. 1, pp. 49–57.
35. Matsumoto, M. (2006), “Breakthroughs in Japanese Railways Learning from Past Railway Accidents - Progress of Train Control”, Japan Railway & Transport Review, Vol. 43 & 44, pp. 86–98.
36. Mattalia, A. (2007), “The Effects on Operation and Capacity on Railways Deriving from the Switching to Continuous Signals and Tracing Systems (ERTMS)”, Royal Institute of Technology KTH.
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39. Pouryouse, H., Lautala, P., and White, T. (2013), “Review of Capacity Measurement Methodologies; Similaries and Differences in the U.S. and European Railroads”, Annual Meeting of the Transportation Research Board, Washington, D. C.,
40. Prokopy, J. C., and Rubin, R.B. (1975), “Parametric Analysis of Railway Line Capacity”, DOT-FR-5014-2, Federal Railroad Association, U.S. Department of Transportation, Washington, DC.
41. Sogin, S., Barkan, C.P.L., and Saat, M.R. (2011), “Simulating the Effects of Higher Speed Passenger Trains in Single Track Freight Networks”, Proceedings of Winter Simulation Conference, Phoenix, USA.
42. Sogin, S., Lai, Y.C., Dick, C.T., and Barkan, C.P.L. (2013), “Comparison of Capacity of Single- and Double-Track Rail Lines Using Simulation Analysis”, Transportation Research Record - Journal of the Transportation Research Board, No. 2374, pp. 111-118.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5135-
dc.description.abstract近年來都會區軌道運輸需求提升導致傳統複線鐵路容量逐漸不敷使用,為有效大幅提升運輸容量以滿足長期潛在旅運需求,多地鐵路營運單位逐漸於原有路廊擴建軌道以減緩目前複線運行下尖峰期間容量不足情形。而多軌化雖可提升軌道容量,但總體股道佈置複雜也將導致列車運轉型態與複線有所差異。過往解析法容量模式發展多提供籌劃階段概略衡量使用,並僅以單線及複線為研究目標且缺少綜合性探討多軌化路線站間正線數量及車站軌道配置等因子影響,導致模式無法準確應用於評估多軌化路線容量。
本研究採用閉塞時間及號誌時距為基礎,探討列車進出站運轉特性、正線數量及複雜車站軌道佈置影響以研發多軌化進出站時隔公式。研發過程創新納入同向雙主線影響、進出站過程道岔限速影響建立十三型進出站號誌安全時距,並針對十三型車站軌道配置建立完整平均號誌安全時距;時距建立後續再藉由模擬軟體校估符合多軌化環境特性下之寬裕係數,提供使用者可更精確評估路線容量。
案例分析評估基隆至新竹各單區段容量、分析七堵南港三軌化工程容量提升成果、建立三軌化佈置下站間追越可行性分析及計算七堵南港佈置改善後容量及虛擬複複線容量。現今七堵南港三軌化路線容量提升成果,南下可提升7%實用容量,北上提升10%實用容量。如後續參考本研究建議之汐止站配置改善計畫,南下可再次提升7%容量;但經由虛擬複複線配置容量計算,整體三軌化容量提升幅度仍為複複線化提升量之一半以下。因此,如需滿足臺北都會區長期旅運成長需求,建議汐止站股道配置改善及長期複複線計畫皆應逐步計畫及實施。 
藉由使用本研究研發之多軌化進出站時隔公式,使用者可於多軌化環境對現有路線及未來規劃佈置評估路線容量與分析瓶頸區段,以提供規劃、設計、營運單位長期之參考依據。
zh_TW
dc.description.abstractFor many busy rail networks in the world, the substantial rail demand has already passed the capacity supplied by double track routes. In order to provide appropriate capacity for long-term planning, increasing the number of tracks is the most common approach to solve congestion problem. This study applied analytical capacity models based on blocking time theory to develop headway equations for multiple track sections, including double, triple and quadruple main line tracks. Depending on the types of mainline track and station track layout, thirteen headway equations were developed in this research to compuate the arrival and departure signal headway as well as the average singal headway. Simulations were also performed to calibrate the operating margin in the headway equations. Empirical results show that the capacity increases from “Triple Track Constructing Project between Qidu to Nangang” are 7% in southbound and 10% in northbound. If track layout at Xizhi station can be improved, the capacity increase for southbound direction can be 14%. Furthermore, quadruple track at mainline track can increase capacity by 81% and 117% for southbound and northbound, respectively. With the proposed models, user can accurately evaluate railway capacity and clearly identify the bottleneck of a route for exist railroad or hypothetical track layout for establishing long term strategic planning.en
dc.description.provenanceMade available in DSpace on 2021-05-15T17:52:24Z (GMT). No. of bitstreams: 1
ntu-103-R01521512-1.pdf: 3934008 bytes, checksum: 701bbce55d7b011570700ee19efb6035 (MD5)
Previous issue date: 2014
en
dc.description.tableofcontents致 謝 i
摘 要 ii
Abstract iii
目 錄 iv
圖目錄 vi
表目錄 viii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究範圍與限制 3
1.4 研究方法與流程 3
第二章 文獻回顧 5
2.1 容量定義及所需要素 5
2.2 容量名詞定義 9
2.2.1 以空間參考點區分 9
2.2.2 以運行條件區分 12
2.3 容量分析方法 14
2.3.1 理論模式 14
2.3.2 模擬模式 19
2.3.3 參數模式 20
2.4 傳統鐵路解析容量模式計算流程 21
2.5 小結 32
第三章 研發多軌化進出站時隔公式 34
3.1 基本概念與模式假設 34
3.1.1 容量定義要素 34
3.1.2 容量分析方法 38
3.1.3 模式容量定義 40
3.2 離站號誌安全時距 44
3.2.1 站內停靠同一股道依序進入同一主線Ts,D1 44
3.2.2 站內停靠不同股道依序進入同一主線Ts,D2 60
3.2.3 站內停靠同一股道依序進入不同主線Ts,D3 65
3.2.4 站內停靠不同股道依序進入不同主線Ts,D4 71
3.3 進站號誌安全時距 77
3.3.1 同一主線列車依序停靠站內同一股道Ts,A1 77
3.3.2 同一主線列車依序停靠站內不同股道Ts,A2 85
3.3.3 不同主線列車依序停靠站內同一股道Ts,A3 97
3.3.4 不同主線列車依序停靠站內不同股道Ts,A4 102
3.4 坡度及加減速影響暨號誌安全時距總表 109
3.5 車站股道配置影響計算 116
3.5.1 車站股道配置類型表介紹暨股道配置運用原則 117
3.5.2 車站股道配置類型列表 121
第四章 模式驗證 149
4.1 模擬程式介紹 149
4.2 模擬模式驗證解析模式運轉寬裕係數 150
4.2.1 驗證環境介紹 151
4.2.2 驗證方法介紹 154
4.2.3 模擬成果 156
4.3 模擬模式應用臺灣傳統鐵路 159
4.3.1 模擬環境介紹 159
4.3.2 模擬成果 162
第五章 案例分析 166
5.1 基隆至新竹容量評估環境 166
5.2 基隆至新竹容量評估成果 183
5.3 使用兩種解析時隔公式分析基隆至新竹最小號誌安全時距 189
5.4 七堵南港三軌化工程容量提升分析 197
5.5 七堵南港三軌配置改善容量分析 202
5.6 七堵南港三軌配置改善待避可能性分析 207
5.7 七堵南港虛擬複複線容量分析 210
第六章 結論與建議 213
6.1 結論 213
6.2 建議 214
參考文獻 215
dc.language.isozh-TW
dc.subject多軌化zh_TW
dc.subject軌道容量zh_TW
dc.subject解析容量模式zh_TW
dc.subject號誌安全時隔zh_TW
dc.subjectMultiple tracken
dc.subjectRailway capacityen
dc.subjectAnalytical capacity modelsen
dc.subjectHeadway equationsen
dc.title傳統鐵路多軌化進出站時隔公式之研發與應用zh_TW
dc.titleDevelopment and Application of Arrival and Departure Headway Equations for Multiple Track Sectionsen
dc.typeThesis
dc.date.schoolyear102-2
dc.description.degree碩士
dc.contributor.oralexamcommittee鍾志成(Jyh-Cherng Jong),朱致遠(James Chih-Yuan Chu),陳柏華(Albert Chen),許聿廷(Yu-Ting Hsu)
dc.subject.keyword軌道容量,解析容量模式,號誌安全時隔,多軌化,zh_TW
dc.subject.keywordRailway capacity,Analytical capacity models,Headway equations,Multiple track,en
dc.relation.page219
dc.rights.note同意授權(全球公開)
dc.date.accepted2014-08-11
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
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