請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6015完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 賴勇成(Yung-Cheng Lai) | |
| dc.contributor.author | Hsuan-Yu Wu | en |
| dc.contributor.author | 吳軒宇 | zh_TW |
| dc.date.accessioned | 2021-05-16T16:19:27Z | - |
| dc.date.available | 2018-08-14 | |
| dc.date.available | 2021-05-16T16:19:27Z | - |
| dc.date.copyright | 2013-08-14 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-09 | |
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(2012), “Robiustness for A Single Railway Line: Analytical and Simulation Methods”, Expert Sytems with Applications 39, pp. 13305-13327. 49. Schittenhelm, B., and Landex, A. (2013), “Development and Application of Danish Key Performance Indicators for Railway Timetables”, IAROR Rail Copenhagen 2013. 50. Stok, R. (2008), “Estimation of Railway Capacity Consumption Using Stochastic Differential Equations”, PhD Dissertation, University of Trieste. 51. Transit Cooperative Research Program (TCRP) (2003), “Transit capacity and Quality of Service Manual. 2nd Edition.”Transportation Research Board.2003, part 5. 52. Vromans, M. J., Dkker, R., Kroon, L. G. (2006), “Reliability and heterogeneity of railway services”, European Journal of Operational Research, Vol. 172, pp. 647-665. 53. Welding, P. I. (1957), “The Instability of a Close-Interval Service”, Operation Research, Quarterly, Vol. 8, pp. 133-148. 54. Yuan, J. and Hansen, I.A. 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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6015 | - |
| dc.description.abstract | 隨著軌道使用需求之上升，如何在系統使用效率與穩定度之間權衡以提供適當之服務是一項重要課題。高的使用效率將使系統穩定度下降；而過低的使用效率不但降低服務品質並造成系統資源浪費。有鑑於此本研究探討兩者之權衡關係並提出最佳平衡點之概念以尋找最佳服務計畫，並嘗試將容量使用風險納入服務計畫最佳化分析模式中。本研究先透過穩定度與效率評估流程分析兩者之關係，再由此關係進行後續最佳化模式建構以尋找該系統中穩定度與效率之最佳平衡點。於評估流程中，事故與營運本身對穩定度所產生之影響皆會納入考量，前者由歷史事故資料以風險概念進行分析，後者因缺乏實際資料則輔以模擬方式進行分析。並以回復時間內所產生之延滯量化分析干擾事件對系統穩定度產生之影響。最佳化分析模式中將使用者與營運者成本同時納入模式中考量。其中穩定度分析成果將轉換為旅客所受之延滯時間，而容量效率將以旅客等候時間進行考量。經由最佳化模式分析後可以得到系統穩定度與效率之最佳平衡點，以及所對應之服務計畫與最佳使用效率。以分析結果與實務運用之情況比較，其中臺鐵案例與捷運系統案例上行中實際使用量皆較高，顯示其現行營運狀況中為提供更多服務而傾向使用高使用率導致系統穩定度大幅下降。而捷運系統下行分析結果則與實際使用量相近，顯示其現行服務計畫接近系統穩定度與效率最佳平衡點。此分析結果可以做為各系統服務計畫參考與改善之建議。 | zh_TW |
| dc.description.abstract | Reducing service headway is the common procedure in response to the increase in traffic demand; however, shorter service headway may lead to higher possibility in system disruptions so as to reduce the system stability. Therefore, service plan should be carefully design with consideration of the tradeoff between service efficiency and stability. On top of that, there is an optimal balance for every railway system according to its specific system characteristics on capacity, stability, and utilization.
This research aims to develop a complete framework to identify the optimal balance for a railway system. This research starts by establishing the analytical models to evaluate railway service efficiency and stability. All necessary data for evaluating service stability and efficiency, including historical service plan, accident data, and parameters for computing capacity will be collected and analyzed. Results are used to depict the clear relationship (and tradeoff) between service efficiency and stability. With a clear understanding in the tradeoff, this research then develops an optimization model to determine the optimal balance between efficiency and stability for railway systems as well as the optimal service plan. Two case studies are analyzed in this research: the regional railway system and the metro system. From the comparison of the analysis result with actual operation, operator can review and check the stability and efficiency and adjust their service planning to provide better operation performance. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-16T16:19:27Z (GMT). No. of bitstreams: 1 ntu-102-R00521523-1.pdf: 2713055 bytes, checksum: e041b190d24cc4f8fada757c7179609f (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 致謝 I
摘要 III Abstract IV 目錄 V 圖目錄 IX 表目錄 XI 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 研究範疇與限制 3 1.4 研究方法 4 1.5 研究流程與架構 4 第二章 文獻回顧 7 2.1 軌道容量分析 7 2.1.1 臺鐵容量分析模式 8 2.1.2 捷運系統容量分析模式 14 2.2 軌道系統營運穩定度分析 16 2.2.1 解析模式 17 2.2.2 模擬模式 18 2.3 穩定度與容量使用效率關係 24 2.4 服務計畫設計 26 2.5 文獻回顧小結 30 第三章 穩定度與效率最佳平衡點分析模式 31 3.1穩定度與效率分析模式 32 3.1.1 可靠度分析模組 34 3.1.2 實用容量與事故容量分析模組 36 3.1.3 效率分析模組 45 3.1.4 穩定度分析模組 46 3.2服務計畫最佳化模式 58 3.2.1服務計畫最佳化模式假設與架構 58 3.2.2基本模式建立 60 3.2.3服務計畫最佳化線性模式 65 3.3 小結 71 第四章 案例分析 73 4.1 區域鐵路系統案例分析 73 4.1.1 分析範疇與假設 74 4.1.2 實用容量與事故容量資料 75 4.1.3 可靠度分析結果 77 4.1.4 平衡點與最佳服務計畫分析成果 80 4.1.5 區域鐵路案例分析小結 86 4.2 捷運系統案例分析 89 4.2.1 分析範疇與假設 89 4.2.2 實用容量與事故容量分析結果 90 4.2.3 可靠度分析結果 94 4.2.4 平衡點與最佳服務計畫分析成果 95 4.2.5 捷運系統案例分析小結 100 4.3 最佳化模式求解 102 4.4 敏感度分析 103 4.4.1 營運成本敏感度分析 103 4.4.2 旅客時間價值敏感度分析 106 4.4.3 系統穩定度敏感度分析 109 4.5 綜合比較與討論 111 第五章 結論與建議 119 5.1 結論 119 5.2 建議 120 參考資料 123 | |
| dc.language.iso | zh-TW | |
| dc.title | 軌道系統營運穩定度與效率平衡點研析 | zh_TW |
| dc.title | The Optimal Balance between Operational Stability and Efficiency for Rail Transportation | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 李治綱,鍾志成 | |
| dc.subject.keyword | 營運穩定度,容量使用,服務計畫,風險分析,最佳平衡點, | zh_TW |
| dc.subject.keyword | Stability,Capacity Utilization,Balance Point,Efficiency,Risk, | en |
| dc.relation.page | 128 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2013-08-09 | |
| 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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