請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/71962
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 | Ming-Hua Lee | en |
dc.contributor.author | 李明華 | zh_TW |
dc.date.accessioned | 2021-06-17T06:16:48Z | - |
dc.date.available | 2022-09-03 | |
dc.date.copyright | 2018-09-03 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-08-24 | |
dc.identifier.citation | Eric Carl Miller. (2007). Regional Transportation District Light Rail Central Corridor Capacity Analysis. Transportation Research E-Circular(E-C112).
Harriet R Smith, Hemily, Brendon, & Ivanovic, Miomir. (2005). Transit signal priority (TSP): A planning and implementation handbook. International Union of Railways (UIC). (2004). UIC 406 Code 406 Capacity. UIC, Editions Techniques Ferroviaires, Paris. JC Jong, Chang, EF, & Huang, SH. (2009). A Rail Capacity Model for Estimating Hourly Throughputs with Mixed Traffic and Complex Track Layouts. Paper presented at the Proceedings of 3rd International Seminar on Railway Operations Modelling and Analysis Engineering and Optimisation Approaches. Jyh-Cherng Jong, Lai, Yung-Cheng, Huang, Sheng-Hsuan, & Chiang, Pei-Chun. (2011). Development and Application of Rail Transit Capacity Models in Taiwan. Transportation Research Record: Journal of the Transportation Research Board, 2216(1), 125-138. doi:10.3141/2216-14 Koonce, P. (2008). Traffic signal timing manual (No. FHWA-HOP-08-024). United States. Federal Roadway Administration. KFH Group. (2013). Transit Capacity and Quality of Service Manual. Kepaptsoglou, K., Milioti, C., Spyropoulou, D., Heider, F., & Karlaftis, A. G. (2016). Modeling LRT Versus BRT Preferences in Developing Countries: The Case of Multan, Pakistan (No. 16-1993). Lucas Mestres Mendes, Bennàssar, Manel Rivera, & Chow, Joseph YJ. (2017). Comparison of Light Rail Streetcar Against Shared Autonomous Vehicle Fleet for Brooklyn–Queens Connector in New York City. Transportation Research Record: Journal of the Transportation Research Board, (2650), 142-151. Ming Zhang. (2009). Bus versus rail: Meta-analysis of cost characteristics, carrying capacities, and land use impacts. Transportation Research Record, 2110 (1), 87-95. Patrick Marnell, Zebell, Paul, Koonce, Peter, & Quayle, Shaun. (2017). Evaluating Transit Priority Signal Phasing at Most Multimodal Intersection in Portland, Oregon. Transportation Research Record: Journal of the Transportation Research Board (2619), 44-54. Tom Parkinson, & Fisher, Ian. (1996). TCRP Report 13. Transportation Research Board. Urbanik, T., Tanaka, A., Lozner, B., Lindstrom, E., Lee, K., Quayle, S., & Sunkari, S. (2015). Signal timing manual. Transportation Research Board. Vukan R Vuchic. (1981). Urban public transportation; systems and technology. Vukan R Vuchic. (2017). Urban transit: operations, planning, and economics: John Wiley & Sons. Lai, Y. C., & Wang, S. H. (2012). Development of analytical capacity models for conventional railways with advanced signaling systems. Journal of Transportation Engineering, 138(7), 961-974. 王信傑. (2006). 輕軌路口設置型式準則之研究. 臺灣大學土木工程學研究所學位論文, 1-105. 江明穎. (2006). 輕軌電車與一般車輛路口衝突風險分析之研究. 臺灣大學土木工程學研究所學位論文, 1-225. 邱榮梧. (2006). 輕軌運輸系統與獨立號誌化路口容量之研究. 臺灣大學土木工程學研究所學位論文, 1-142. 陳諭嫺. (2013). 整合輕軌電車優先號誌時制之模擬研究. 臺灣大學土木工程學研究所學位論文, 1-144. 紀尚詮. (2014). 輕軌優先號誌與平面路權對路網服務容量影響之研究. 臺灣大學土木工程學研究所學位論文, 1-119.. 交通部運輸研究所 (Institute of Transportation, IOT). (2013). 台灣軌道容量手冊. 交通部運輸研究所 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/71962 | - |
dc.description.abstract | 輕軌運輸系統具備在軌道系統及公路系統皆能運行的特色,並可根據不同路網需求提供不同的運輸容量服務,而輕軌容量是輕軌運輸系統其中一項重要的服務指標,可提供規劃者進行新輕軌系統的容量評估與系統設計,或者提供營運者設計良好的營運服務以及性能提升計畫。然而現行的輕軌容量解析模式大多從公路公車的角度探討輕軌容量,未能依據輕軌的路線線型、列車運轉特性以及應用於與公路交叉的路口號誌優先邏輯探討實際容量值,因此本研究建立一套以區間單位為計算架構的輕軌容量模式,模式中依據A型及B型路權的不同輕軌系統特性推導出8型安全時隔計算公式,並在B型路權的模式中以號誌週期搭配號誌優先策略的組合進行分類,總共歸類出31種優先號誌控制邏輯並推導出相應優先號誌週期參數的計算公式,供輕軌營運規畫者評估衡量輕軌優先需求以及公路交通的影響情形。在案例分析中,本研究分析了包含A型、B型以及實際路線的三種類型的解析容量結果,並以VISSIM微觀車流模擬軟體進行模擬驗證,最後結果顯示輕軌容量解析模式可提供精確的容量估算,提供輕軌系統營運者進行系統性能評估、規畫更精準的營運計畫及提供更有效的運輸服務。 | zh_TW |
dc.description.abstract | Modern light rail transit is an emerging transit system that possesses the properties of a rapid transit system, with a specific running path and frequent services, and those of a highway system, with a flexible operating mode. Light rail capacity is an explicit indicator that helps operators design efficient operation plans, improve an existing transit network, or build a new transit system. However, light rail capacity model developed in the past usually were formulated based on the bus capacity model, which does not thoroughly consider departure and arrival headways, turnback operations, and transit signal priority strategies. In this research, we adopted the green to cycle ratio (g/C) from the TCQSM and developed 8 types of signal headway equations including roadway effect in consideration of critical track layouts corresponding to A-type and B-type Right-of-Way (ROW), respectively. Besides that, we also elaborated 31 sets of equations to identify signal timing parameter in consideration of signal priority logics within B-type ROW. Analytical results from the case studies were validated by simulation models in VISSIM. This study demonstrate that the proposed light rail capacity model can help light rail transit operators to measure section and line capacity, and identify critical bottlenecks. Using the developed light rail capacity models can help planners design light rail system with efficient capacity utilization, and reliable services. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T06:16:48Z (GMT). No. of bitstreams: 1 ntu-107-R05521523-1.pdf: 2918804 bytes, checksum: 6a8a58b57c40b9b0bbc14542b2287eb9 (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | 口試委員審定書 i
致謝 ii 摘要 iii ABSTRACT iv CONTENT v LIST OF FIGURES viii LIST OF TABLES x CHAPTER 1 INTRODUCTION 1 1.1 Background 1 1.2 Problem Statement 1 1.3 Research Objective 2 1.4 Contribution Summary 2 1.5 Thesis Organization 3 CHAPTER 2 LITERATURE REVIEW 5 2.1 Light Rail Capacity Model 5 2.2 Transit Signal Priority 7 2.3 Summary 10 CHAPTER 3 DEVELOPMENT OF ANALYTICAL LIGHT RAIL CAPACITY MODEL FOR A-TYPE OR B-TYPE RIGHT-OF-WAY SYSTEM 11 3.1 Critical Points Framework for Light Rail Capacity Model 11 3.2 Computational Process 14 3.3 Signal Headway Equations of each Operation Scenario 15 3.3.1 Type I: Signal Headway of Intermediate Stations 16 3.3.2 Type II: Signal Headway of Turnbacks with Forward Scissors Crossover where Trains Share the Same Track (FSST) 18 3.3.3 Type III: Signal Headway of Turnbacks with Forward Scissors Crossover where Trains Use Different Track (FSDT) 21 3.3.4 Type IV: Signal Headway of Turnbacks with Rear Scissors Crossover where Trains Share the Same Track (RSST) 24 3.3.5 Type V: Signal Headway of Turnbacks with Rear Scissors Crossover where Trains Use Different Track (RSDT) 27 3.3.6 Type VI: Signal Headway of Intermediate Stations Affected by Influential Intersection 30 3.3.7 Type VII: Signal Headway of Independent Intersections 34 3.3.8 Type VIII: Signal Headway of Turnbacks with an Intersection between the Platform and Crossover 34 3.4 Critical Signal Headway 36 3.5 Operating Margin 37 3.6 Operating Headway 37 3.7 Section and Turnback Capacity 37 3.8 Line Capacity 38 3.9 Summary 38 CHAPTER 4 DEVELOPMENT OF SIGNAL PARAMETER FORMULATIONS WITH CLASSIFICATION OF SIGNAL PRIORITY LOGIC 39 4.1 Classification of Signal Priority Logics 40 4.2 Signal Cycle without Concurrent Phase 42 4.2.1 A-type Signal Cycle 44 4.2.2 B-type Signal Cycle 44 4.2.3 C-type Signal Cycle 45 4.3 Signal Cycle with Concurrent Phase 45 4.3.1 E-type Signal Cycle 47 4.3.2 F-type Signal Cycle 50 4.3.3 G-type Signal Cycle 54 4.3.4 H-type Signal Cycle 58 4.4 Summary 63 CHAPTER 5 CASE STUDY 64 5.1 Simulative Capacity Analyzing Procedure 65 5.2 Case I: Example Section in A-type ROW System 65 5.3 Case II: Example Section in B-type ROW System 67 5.3.1 Intermediate Stations Affected by Influential Intersection (Type VI) 70 5.3.2 Independent Intersections (Type VII) 73 5.3.3 Turnbacks with an Intersection between the Platform and Crossover (Type VIII) 75 5.4 Case III: Kaohsiung Light Rail (KLR) 79 5.4.1 Kaohsiung Light Rail (KLR) Transit Line 79 5.4.2 Capacity Results 81 5.5 Summary 83 CHAPTER 6 CONCLUSION 84 6.1 Conclusion 84 6.2 Future Work 85 REFERENCE 87 APPENDIX 90 | |
dc.language.iso | en | |
dc.title | A型路權及B型路權之輕軌容量模式研發 | zh_TW |
dc.title | Development of Light Rail Capacity Model for A-type and B-type Right-of-Way | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 鍾志成(Jyh-Cherng Jong),黃笙玹(Sheng-Hsuan Huang),王志綱(Chih-Kang Wang) | |
dc.subject.keyword | 軌道容量,輕軌,優先號誌,A型路權,B型路權, | zh_TW |
dc.subject.keyword | Railway Capacity Model,Light Rail,Transit Signal Priority(TSP),A-type right-of-way,B-type right-of-way, | en |
dc.relation.page | 100 | |
dc.identifier.doi | 10.6342/NTU201803848 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-08-24 | |
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-107-1.pdf 目前未授權公開取用 | 2.85 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。