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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 | Wei-Po Hsiao | en |
dc.contributor.author | 蕭韋柏 | zh_TW |
dc.date.accessioned | 2021-07-11T14:41:08Z | - |
dc.date.available | 2021-10-25 | |
dc.date.copyright | 2016-10-25 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-08-24 | |
dc.identifier.citation | REFERENCE
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Outlining the Timetable of a Railway System According to its Capacity Computation. 8th International Conference on Computers in Railways, pp. 759-768 Goverde, R. M., Corman, F., & D’Ariano, A. (2013). Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions. Journal of Rail Transport Planning & Management, 3(3), 78-94. Höllmüller, J., & Klahn, V. (2005). Implementation of the UIC 406 capacity calculation at Austrian railways (ÖBB). In Proceedings of the 1st International Seminar on Railway Operations Modelling and Analysis. Hunt, D. (2005). Return on Investment on Freight Rail Capacity Improvement. Improverail Consortium (2003), Methods for Capacity and Resources Management, European project, Deliverable D6 Janić, M. (1984). Single Track Line Capacity Model. Transportation Planning and Technology, Vol. 9, pp. 135-151. Jensen, L. W., Landex, A., & Nielsen, O. A. (2015). Assessment of Stochastic Capacity Consumption in Railway Networks. In Proceedings of the 6th International Conference on Railway Operations Modelling and Analysis (railtokyo2015). Krueger, H. (1999). Parametric Modeling in Rail Capacity Planning. In Simulation Conference Proceedings, Vol. 2, pp. 1194 - 1200. IEEE. Lai, Y.C. & Barkan, C. (2009). Enhanced Parametric Railway Capacity Evaluation Tool. Transportation Research Record: Journal of the Transportation Research Board, No. 2117. pp. 33-40. 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. Lai, Y.C., & Huang, Y.A. (2012). Estimation of Single and Double-Track Capacity with Parametric Models. Transportation Research Record: Journal of the Transportation Research Board, 2012, Accepted. Lai, Y.C., Shih, M.C., & 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. Landex, A., Kaas, A. H., Schittenhelm, B., & Schneider-Tilli, J. (2006). Practical use of the UIC 406 capacity leaflet by including timetable tools in the investigations. WIT Transactions on The Built Environment, 88. Lindfeldt, A. (2015). Railway capacity analysis - Methods for simulation and evaluation of timetables, delays and infrastructure. Doctoral Thesis in Infrastructure, Department of Transport Science, School of Architecture and the Built Environment, KTH Royal Institute of Technology Lindner, T. (2011), Applicability of the analytical UIC Code 406 compression method for evaluating line and station capacity. Journal of Rail Transport and Planning & Management, Vol.1, No.1, pp 49-57. Pachl, J. (2002). Railway operation and control. Pachl, J. (2007). 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WIT Transactions on The Built Environment, 74. 交通部運輸研究所 (Institute of Transportation, IOT). (2011). 軌道容量研究與可靠度分析研究(1/3). 交通部運輸研究所 交通部運輸研究所 (Institute of Transportation, IOT). (2012). 台鐵容量手冊. 交通部運輸研究所 交通部運輸研究所 (Institute of Transportation, IOT). (2014). 單線連續區段軌道容量模式分析暨整體容量軟體改版研究(1/2). 交通部運輸研究所 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78064 | - |
dc.description.abstract | 容量分析及管理在鐵路經營與規畫的環節中一直都扮演相當重要的腳色,而有關於路線容量分析過往已有相當多研究及模式可以處理不同狀況的路廊狀況包括單線、複線甚至是複複線等軌道狀況,然而,當路線變成單線及複線交綜混雜的軌道狀況時,現有模式多無法處理該路廊之連續容量評估計算。
本研究採用時空閉塞圖的概念為基礎,進一步串聯成列車時空階梯圖代表一個車次在時間及空間中的行為,並利用三個列車模組模擬列車在現實中運行的狀況,最終發展出一套可以分析無論單線、複線或單複線混合路線的模擬法,運用這種直接討論一整個車次的概念,除了可以考量列車通過連續區段所造成的交互影響之外,亦可有效的避免死結問題發生在模擬過程當中。此模擬法中包含的三個模組,分別為列車加入模組(TIM)、衝突偵測模組(CDM)及衝突排解模組(CRM),當模式逐一加入列車至模擬過程中,TIM負責一開始列車起始出發時間的排訂,當該車次與其他列車發生衝突,即運用CDM和CRM偵測及排解該衝突事件至無衝突發生為止。而隨著模擬列車數量的增加,該路線容量值的變化會逐漸縮小直到收斂,此即為該分析路廊的代表容量。 本研究亦利用此模式針對台鐵兩單複線混合路廊,分別針對南迴線(枋寮至台東)的兩情境,包括全單線及單複線混合形式營運模式,及花東線(花蓮至台東段) 的兩情境,包括單複線混合及全複線形式進行案例分析,結果證實運用此模式可有效的分析路線容量,且可發現單線擴建至單複線混合路段的效益遠小於單線擴建成複線,因此若需滿足需求,未來可利用本模式進行分析不同路廊肩負線畫的容量影響。 藉由本研究研發之單複線混合路段容量模式,可供營運者更加清楚掌握現有軌道設施之容量表現,配合單區段容量分析瓶頸路段,以提供營運者長期規劃、設計之參考依據。 | zh_TW |
dc.description.abstract | Capacity analysis and management is a very important element in railway planning and operations. Existing capacity models are able to analyze capacity of single or double track network; however, they cannot deal with corridors with mixed single and double tracks. This research adopted the concept from blocking time methodology and developed a simulation method to analyze corridor capacity for single, double, and mixed tracks corridors. Based on infrastructure, traffic and operating characteristic, the developed simulation method can determine the capacity of a corridor with multiple types of tracks. Two case studies were performed to demonstrate the applicability of the developed simulation method. Results from the capacity analysis of single and double tracks were also validated by using the existing capacity model used by the conventional railway operators in Taiwan. Using this simulation method can help railway companies and agencies to better plan and manage their railway network. | en |
dc.description.provenance | Made available in DSpace on 2021-07-11T14:41:08Z (GMT). No. of bitstreams: 1 ntu-105-R03521508-1.pdf: 5603714 bytes, checksum: fc54733678d0d55c5b9aec5c47636278 (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | CONTENTS
口試委員審定書 ii 致謝 iii 摘要 iv ABSTRACT v CONTENTS vi LIST OF FIGURES viii LIST OF TABLES xi CHAPTER 1 INTRODUCTION 1 1.1 Background 1 1.2 Problem Statement 2 1.3 Research Objectives 2 1.4 Contribution Summary 3 1.5 Dissertation Outline 4 CHAPTER 2 LITERATURE REVIEW 6 2.1 General Capacity Analysis 6 2.1.1 Definition of Capacity and Basic Elements 6 2.1.2 Capacity Analysis Method 8 2.2 Single Track Capacity Analysis 18 2.2.1 Single Track Section Capacity Model 18 2.2.2 Deadlock Problem 22 2.3 UIC 406 Capacity Analysis 23 2.4 Summary of Literature Review 26 CHAPTER 3 DEVELOPMENT OF SINGLE TRACK AND DOUBLE TRACK MIXED CAPACITY MODEL 27 3.1 Concept of Blocking time Diagram 28 3.2 Development of Simulation model Flowchart and Procedures 32 3.3 Conflict Resolution Module 37 3.3.1 Conflict Resolution Mechanism 38 3.3.2 Basic Train Operation Rules 39 3.4 Conflict Detection Module 45 3.4.1 Conflict Detention Mechanism 47 3.4.2 Example of Conflict Detection Module Working Process 48 3.5 Chapter Summary 58 CHAPTER 4 CASE STUDY 60 4.1 Programming Assumptions of the Simulation Model 60 4.2 TRA South - Link Line Capacity Analysis 62 4.3 TRA Hualien - Taitung Line Capacity Analysis 70 4.4 Model Validation by CRCS Simulation Software 78 4.5 Sensitivity Analysis and Discussion 81 4.5.1 Train Composition Sensitivity Analysis 81 4.5.2 Waiting Time Limitation Sensitivity Analysis 82 4.5.3 Block Distance Sensitivity Analysis 83 4.6 Discussion 84 CHAPTER 5 CONCLUSIONS AND FUTURE WORK 89 5.1 Conclusion 89 5.2 Future Work 90 CHAPTER 6 REFERENCE 92 | |
dc.language.iso | en | |
dc.title | 單複線混合連續路段容量分析模式研發 | zh_TW |
dc.title | Development of Continuous Capacity Model for
Single, Double and Mixed Track Corridor | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 許聿廷(Yu-Ting Hsu),鍾志成(Jyh-Cherng Jong),黃笙玹(Sheng-Hsuan Huang),張恩輔(En-Fu Chang) | |
dc.subject.keyword | 軌道容量,時空閉塞圖,模擬法,單複線混合路段,死結問題, | zh_TW |
dc.subject.keyword | Railway Capacity,Blocking Time Diagram,Simulation Method,Deadlock Problem, | en |
dc.relation.page | 97 | |
dc.identifier.doi | 10.6342/NTU201603558 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-08-25 | |
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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