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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 許添本(Tien-Pen Hsu) | |
| dc.contributor.author | Kai-Yu Cheng | en |
| dc.contributor.author | 鄭鎧鋙 | zh_TW |
| dc.date.accessioned | 2021-06-15T04:58:17Z | - |
| dc.date.available | 2010-08-02 | |
| dc.date.copyright | 2010-08-02 | |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-07-28 | |
| dc.identifier.citation | 1. 交通部運輸研究所(2001)，二○○一年台灣地區公路容量手冊。
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Ahn, S., Bertini, R. L., Auffray, B., Ross, J. H. and Eshel, O.v(2007), “Evaluating the Benefits of a System-Wide Adaptive Ramp-Metering Strategy in Portland, Oregon,” Transportation Research Record, Vol. 2012, pp.47-56. 21. Bellemans, T., Schutter, B. D. and Moor, B. D. (2002), “Models for traffic control,”. 22. Bogenberger, K. and May, A. D. (1999), “Advanced coordinated traffic responsive ramp metering strategies,” California PATH Working Paper. 23. Daganzo, C. F. (1994), “The Cell Transmission Model：A Dynamic Representation of Highway Traffic Consistent with The Hydrodynamic Theory,” Transportation Research Part B, Vol. 28, No. 4, pp.269-287. 24. Daganzo, C. F.(1995),“The Cell Transmission Model Part II: Network Traffic,” Transportation Research Part B, Vol. 29, No. 2, pp.79-93. 25. FHWA (2006), Ramp Management and Control Handbook, FHWA-HOP-06-001, Federal Highway Administration, Department of Transportation, Washington, D.C. 26. Gomes, G. and Horowitz, R. 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(2005), “Local and Optimal Coordinated Ramp Metering for Freeway Networks,” Journal of Intelligent Transportation System, Volume 9, No. 4, pp.187-203. 33. Lewis, C. D. (1982) “Industrial and Business Forecasting Methods, Southampton: The Camelot Press Ltd.” 34. Lipp, L. E., Corcoran, L. and Hickman, G. (1991), 'Benefits of Central Computer Control for the Denver Ramp Metering System,' Transportation Research Board Record, Vol. 1320, pp.3-6. 35. May, A. D. (1990), Traffic Flow Fundamentals, New Jersey, Prentice-Hall Inc. 36. Muñoz, L. (2004), “Macroscopic Modeling and Identification of Freeway Traffic Flow,” Ph.D. Dissertation, University of California, Berkeley. 37. Muñoz, L., Sun, X. , Sun, D., Gomes, G. and Horowitz, R. (2004), “Methodological Calibration of the Cell Transmission Model,” Proceedings of the 2004 American Control Conference, Boston, Massachusetts, USA, pp.798-803. 38. Muñoz, L., Sun, X., Horowitz, R. and Alvarez, L. (2003), “Traffic Density Estimation with the Cell Transmission Model,” Proceedings of the 2003 American Control Conference, Denver, Colorado, USA, pp.3750-3755. 39. Papageorgiou, M., Haj-Salem, H., and Blosseville, J. M. (1991) ,“ALINEA: A Local Feedback Control Law for On-Ramp Metering,” Transportation Research Record, Vol. 1320, pp.58-64. 40. Papageorgiou, M., Kosmatopoulos, E., Papamichail, L. and Wang, Y (2008). “A Misapplication of the Local Ramp Metering Strategy ALINEA,” IEEE Transactions on Intelligent Transportation System, Vol. 9, No. 2, pp.360-365. 41. Scariza, J. R. (2003), “Evaluation of Coordinated and Local Ramp Metering Algorithms using Microscopic Traffic Simulation,” Department of Civil and Environmental Engineering. 42. Simin, C. and Loong, N. K. (2005), ”A critical analysis of The Cell Transmission Model: A dynamic representation of highway traffic consistent with the hydrodynamic theory,” University Scholars Programme. 43. Zhang, H. M., Ritchie, S. G. and Jayakrishnan, R. (2001), “Coordinated traffic-responsive ramp control via nonlinear state feedback,” Transportation Research Part C, Vol. 9, No. 5, pp.337-352. 44. Zhang, L. and Levinson, D., “Balancing Efficiency and Equity of Ramp Meters,” Journal of Transportation Engineering, Vol. 131,No. 6, June 2005, pp. 477-481. 45. Zhang, L., Levinson, D. (2004), “Optimal Freeway Ramp Control without Origin-Destination Information,” Transportation Research part B, Vol. 38, No. 10, pp.869-887. 46. Zhang, M., Kim, T., Nie, X. and Jin, W. (2001), “Evaluation of On-ramp Control Algorithims,” Institute of Transportation Studies. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46212 | - |
| dc.description.abstract | 高速公路每逢連續假期即會湧入大量車潮，需求流量超過高速公路之容量而導致壅塞發生。匝道儀控是高速公路交通壅塞管理的主要方法之一，能調節主線車流量，避免主線發生過飽和之情形；目前在高速公路實施之匝道儀控，主要為定時儀控，僅考慮單一匝道來制訂儀控策略，此控制方式無法即時地反應實際車流變化，且單一匝道之車流量過高時，導致主線等候車隊長度向上游延伸，此時需調整上游匝道之儀控率，避免使壅塞情形更為嚴重。因此本研究考慮高速公路整體績效，以線性之最佳化控制之方式來建立連鎖式匝道儀控模式，並採用交通感應儀控之作業方式，即時地計算各控制時段之最佳儀控率。
本研究之最佳化模型以車流模式為基礎來建立最佳化模型，車流模式採用中觀車流模式中之修改後的格位傳送模式(Modified Cell Transmission Model, MCTM)，其具有簡易計算本質，僅需要建立其模式基本規範，即可作為動態即時應用。研究架構主要分為兩大步驟:第一步驟為校估車流模式所需參數，並進行模式驗證；第二步驟為建立最佳化模型，計算最佳儀控率，進而評估其績效。 本研究蒐集國道五號於2009年端午節連續假期之偵測器資料，並以國道五號宜蘭端北上路段作為控制範圍，依偵測器資料來校估MCTM所需參數，並採用MAPE作為評估指標來進行模式驗證，結果顯示本研究校估之參數使MCTM能夠合理地描述車流變化之情形。 本研究假設兩種情境來求解最佳儀控率:第一種情境為不考慮匝道等候長度限制，第二種情境為考慮匝道等候長度限制，並以總花費時間(Total Time Spent, TTS)、總旅行時間(Total Travel Time, TTT)及總等候時間(Total Waiting Time, TWT)來評估各情境之績效。研究結果發現不管在何種情境下，本研究所構建之最佳化模型皆能改善國道五號於連續假期之壅塞程度，然而情境一使得頭城上匝道之等候車隊回堵過長，因此本研究以情境二為兩者中較佳之方案。 | zh_TW |
| dc.description.abstract | The freeway always occurrs critical congestion on vacations in Taiwan, and ramp metering control is one of the ways to solve the congestion problem of freeway. All ramp metering on freeway at present are controlled isolated and the metering adopted fixed time class which can not detected real-time flow of mainline and ramp, and it will lead the queue of mainline back up onto upstream when a ramp with excess demand; at this time, it must adjust the metering rates of ramps at upstream, so in this research, the network was considered, and the coordinated ramp metering control model which formulated as linear optimal control model and the metering rate executed with traffic-responsive control was proposed.
This optimal control model was formulated by using modified cell transmission model (MCTM), it easily to calculate, and it can apply to dynamic control with the basic rules of MCTM. The framework of this research divided into two steps. The first step was to calibrate the MCTM parameters, and to ensure MCTM can replicate the freeway traffic behaviors; the second step was to calculate the optimal metering rates, and then evaluate its performances. In this research, the optimal model was tested numerically using data from a severely congested stretch of freeway at National Freeway No.5 during 2009/5/28 to 2009/5/31, and it were also used to calibrate MCTM parameters. Then, the Mean Absolute Percentage Error (MAPE) was selected as evaluation index, and the results showed that the MAPE of the MCTM falls into a reasonable range. There are two conditions when the metering was calculated, the first one is the optimal control model without the consideration of the onramp queue length constrain, and the second one is the optimal control model which consider the onramp queue length constrain. In addition, total time spent (TTS), total travel time (TTT) and total waiting time (TWT) were used to evaluation performances of the two conditions. The results showed that the proposed model can improve the congestion problems of National Freeway No.5 in both situations. However, the first condition causes long queue length at Toucheng onramp, thus the second condition is regarded as the better strategy. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T04:58:17Z (GMT). No. of bitstreams: 1 ntu-99-R97521524-1.pdf: 4186758 bytes, checksum: 8c3fc7098a184c6e3406d8bae0470b10 (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 誌謝 I
摘要 III ABSTRACT IV 目錄 VII 圖目錄 IX 表目錄 XIII 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究範圍 2 1.3 研究目的 3 1.4 研究內容 4 1.5 研究流程 5 第二章 文獻回顧 7 2.1 匝道儀控演算法 7 2.1.1 獨立型交通感應儀控模式 10 2.1.2 連鎖型交通感應儀控模式 13 2.1.3 整合型交通感應儀控模式 19 2.1.4 小結 22 2.2 車流模式 24 2.2.1 巨觀車流模式 24 2.2.2 微觀車流模式 26 2.2.3 中(介)觀車流模式 26 2.2.4 小結 26 2.3 格位傳送模式之相關文獻 28 2.3.1 格位傳送模式 28 2.3.2 CTM於高速公路之應用 32 第三章 現況分析與研究方法 35 3.1 國道五號路網及交通現況分析 35 3.1.1 主線壅塞情形分析 39 3.1.2 匝道壅塞情形分析 41 3.2 研究方法 45 3.2.1 研究架構 46 3.2.2 最佳化模型構建 48 3.3 小結 53 第四章 參數校估與模式驗證 55 4.1 參數校估 55 4.1.1 各偵測器之自由流速率、壅塞密度、臨界密度及容量校估 56 4.1.2 衝擊波速率校估 62 4.1.3 下匝道率校估 64 4.2 模式驗證 65 4.2.1 國道五號格位劃分 65 4.2.2 現況驗證 70 4.3 小結 78 第五章 模式應用及情境分析 79 5.1 模式應用 79 5.2 情境分析 83 5.3小結 91 第六章 結論與建議 93 6.1 結論 93 6.2 建議 94 參考文獻 97 附錄一 國道五號宜蘭端北上路段偵測器佈設位置 103 附錄二 各偵測器速率(V)-密度(K)曲線配適圖 104 作者簡歷 117 | |
| dc.language.iso | zh-TW | |
| dc.subject | 格位傳送模式 | zh_TW |
| dc.subject | 匝道儀控 | zh_TW |
| dc.subject | 交通感應儀控 | zh_TW |
| dc.subject | 最佳化控制 | zh_TW |
| dc.subject | 車流模式 | zh_TW |
| dc.subject | Optimal Control | en |
| dc.subject | Cell Transmission Model | en |
| dc.subject | Traffic Flow Model | en |
| dc.subject | Ramp Metering Control | en |
| dc.subject | Traffic-Responsive Control | en |
| dc.title | 高速公路連鎖式匝道儀控模式之研究 | zh_TW |
| dc.title | Coordinated Freeway Ramp Metering Control Model | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 卓訓榮(Hsun-Jung Cho),邱裕鈞(Yu-Chiun Chiou) | |
| dc.subject.keyword | 匝道儀控,交通感應儀控,最佳化控制,車流模式,格位傳送模式, | zh_TW |
| dc.subject.keyword | Ramp Metering Control,Traffic-Responsive Control,Optimal Control,Traffic Flow Model,Cell Transmission Model, | en |
| dc.relation.page | 117 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2010-07-29 | |
| 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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