臺灣博碩士論文加值系統

　　近年來，經濟快速發展除了帶動許多都市開發，並提高人民的交通代步工具持有，該現象可能產生交通壅塞效應，尤其在人口相對較多的都市區域更為嚴重，因此，如何運用現有科技如大眾智慧運輸系統 (Intelligent Transportation System, ITS )改善交通號誌現有問題，成為相關研究重要的課題之一。為求有效紓解交通壅塞，交通號誌控制方法由獨立路口為始發展，持續演進如幹道與路網連鎖性交通號誌控制，以降低各路口平均車輛延滯時間、車輛停等次數，提升其服務水準。先前交通號誌控制方法為利用歷史車流相關資訊作號誌規劃，然而交通狀況變化快速，此種方式難以反應實際車流變化，在先進感測與通訊網路結合下，使得能夠即時根據車流量等相關資訊即時的進行交通號誌控制。
　　本研究將以幹道連鎖性交通號誌控制為基礎，藉由車輛感測器與通訊設施監測取得各路口流量資訊，並以此針對各路口車輛延滯影響程度分析決定是否延長現行燈號，以達最小平均延滯時間。

　Due to economic development and urbanization, traffic congestion has become a serious problem in urban environments. Therefore, combining the advanced traffic management systems and the advanced technologies (e.g., Intelligent Transportation System, ITS) would raise the value in traffic signal control.
　In this thesis, we propose a coordination control strategy for signalized intersections in arterial systems. By collecting traffic information from vehicle sensors and roadside detectors, we jointly consider how the above factors impact to the delay of ordinary vehicles. Simulation results show that our system can significantly reduce total waiting time and stopping times.

Contents
第一章、 緒論 1
第二章、 交通號誌控制方法 4
2.1 獨立路口控制 4
2.2 幹道控制 8
2.3 路網控制 11
2.4 小結 13
第三章、 幹道續進延長策略 14
3.1 問題描述 14
3.2 系統架構 15
3.3 連鎖號誌改進策略 17
第四章、 模型建置與模擬 24
4.1 模擬環境 24
4.2 效能分析與模擬結果 25
第五章、 結論與未來展望 30
5.1 結論 30
5.2 未來展望 30
參考文獻 31

[1] ITS Taiwan website, [Online]. Available: http://www.its‐taiwan.org.tw/.
[2] S. H. An, B. H. Lee and D. R. Shin, "A Survey of Intelligent Transportation Systems,” The 3rd International Conference on Computational Intelligence, Communication Systems &; Networks. CICSyN’11, Bali, 26-28 July 2011, pp. 332-337.
[3] D. Zhao, Y. Dai and Z. Zhang, “Computational Intelligence in Urban Traffic Signal Control. A Survey,” IEEE Transactions on Systems, Man, and Cybernetics, Part C. TSMCC’11, vol. 42, no. 4, pp. 485-494, July 2012.
[4] M. Estrada, C. Trapote, M. Roca-Riu and F. Robusté, “Improving Bus Travel Times with Passive Traffic Signal Coordination”, Transportation Research Record, vol. 2, no.2111, pp. 68-75, 2007.
[5] N.A. Chaudhary, V.G. Kowali, S.M. Alam. "Guidelines for Selecting Signal Timing Software," Texas Transportation Institute. TRIS’02, Alexandria, USA, Product 04020-P2. Sep. 2002.
[6] A. Kouvelas, K. Aboudolas, M. Papageorgiou and E. B. Kosmatopoulos, “A hybrid strategy for real-time traffic signal control of urban road networks,” in Proc. IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 3, pp. 884-894, Sept. 2011.
[7] F. Yan, M. Dridi and A. El-Moudni, “A branch and bound algorithm for new traffic signal control system of an isolated intersection,” 39th International Conferenceon Computers &; Industrial Engineering. CIE39'09, Troyes, 6-9 July 2009, pp. 999-1004.
[8] Y. Dai and D. Zhao, “A Traffic Signal Control Algorithm for Isolated Intersections based on Adaptive Dynamic Programming,” International Conference on Networking, Sensing and Control. ICNSC’10, Chicago, IL, 10-12 April 2010, pp. 255-260
[9] S. Li, “A Survey of Urban Traffic Coordination Controls in Intelligent Transportation Systems,” IEEE International Conference on Service Operations and Logistics, and Informatics. SOLI’12, Suzhou, 8-10 July 2012, pp. 177-182.
[10] X. K. Yang, “Comparison among Computer Packages in Providing Timing Plans for Iowa Arterial in Lawrence, Kansas”, Journal of Transportation Engineering, Vol. 127, No. 4, 2001, pp. 311-318.
[11] Trafficware, [Online]. Available: http://www.trafficware.com/
[12] NetLogo Home Page, [Online]. Available: http://ccl.northwestern.edu/netlogo/
[13] F. V. Webster, “Traffic Signal Settings,” Road Research Technical Paper No. 39. London: Great Britain Road Research Laboratory, 1958.
[14] F. V. Webster and B. M. Cobbe, “Traffic signals,” Road Research technical paper. H. M. S. O. Road Res. Lab., Berkshire, U.K., 1966.
[15] TRB HCM Manuals Home, [Online]. Available: http://hcm.trb.org/.
[16] Signal Timing Manual, [Online]. Available: http://www.signaltiming.com/
[17] J. Barnes and V. Paruchuri, “Optimal Phase Ordering of Traffic Signals to reduce Stopped Delay,” IEEE 26th International Conference on Advanced Information Networking and Applications. AINA'12, Fukuoka, 26-29 March 2012, pp. 113-119.
[18] T. V. Mathew, Traffic Engineering, Bombay: Indian Institute of Technology, 2013.
[19] S. Lu, X. Liu and S. Dai, “Revised MAXBAND Model for Bandwidth Optimization of Traffic Flow Dispersion,” ISECS International Colloquium on Computing, Communication, Control, and Management. CCCM'08, vol. 2, Guangzhou, 3-4 Aug. 2008, pp. 85-89.
[20] J. Wu, N. Liu, E. Xing and X. Zhao, “Optimal Design for Traffic Light and Simulation based on MATLAB,” International Conference on Mechanic Automation and Control Engineering. MACE'10, Wuhan, 26-28 June 2010, pp. 2854-2857.
[21] N. Ma; C. F. Shao and Y. Zhao, "Study on Coordination Control with Bandwidth Optimization for Signalized Intersections in Arterial Systems," International Conference on Optoelectronics and Image Processing. ICOIP'10, Vol. 2, Haiko, 11-12 Nov. 2010, pp. 425 - 430.
[22] Y. GU, L. Yu, “Study on Optimization of Phase Offset at Adjacent Intersections,” International Journal of Intelligent Systems and Applications. IJISA'10, vol. 2, no. 1, pp. 30-36, 2009.
[23] T. Y. Hu, H. Y. Huang, Y. H. Hsu and T. Y. Wu, "Signal-Coordination Improvement Strategies for Urban Traffic Networks," Transportation Planning Journal, Vol. 39, No. 3, pp. 323, Sep. 2010.
[24] S. Wang, J. Xu, G. Yang and C. Chen, “A Green Wave Band Model Considering Variable Queue Clearance Time,” 10th World Congress on Intelligent Control and Automation. WCICA'12, Beijing, 6-8 July 2012, pp. 3025-3030.
[25] D. I. Robertson and D. Bretherton. “Optimizing Networks of Traffic Signals in Real Time – The SCOOT Method,” IEEE Transaction on vehicular technology, vol. 40, no.1, pp. 11-15, Feb. 1991.
[26] Z. M. Chen, "Intelligent traffic control central system of Beijing-SCOOT," International Conference on Mechanic Automation and Control Engineering. MACE’10, Wuhan, CHINA, 26-28 June 2010, pp. 5067-5069.
[27] SCOOT - The World's Leading Adaptive Traffic Control System. Peek Traffic Limited, Siemens Traffic Controls and TRL Limited. www.scoot-utc.com/index.php. Accessed July 1, 2013.
[28] B. Gao, SCATS Adaptive Traffic Control System Introduction, Arizona:USA, 2011
[29] SCATS - The Sydney Coordinated Adaptive Traffic System (SCATS) is an innovative computerised high-tech traffic management system developed and maintained by Roads and Maritime Services. www.scats.com.au/index.html. Accessed July 1, 2013.
[30] A. G. Sims and K. W. Dobinson, “The Sydney Coordinated Adaptive Traffic (SCAT) System Philosophy and Benefits,” IEEE Transactions on Vehicular Technology, vol. 29, no. 2, pp. 130-137, May. 1980.
[31] Z. Tian,. and F. Ohene, “Tricks and Tips about Signal Timing and Coordination,” 6th International Conference of Traffic and Transportation Studies Congress. ICTTS’08, Nanning, CHINA, 5-7 Aug. 2008, pp. 66-74.
[32] R. P. Roess, E. S. Prassas and W. R. McShane, Traffic Engineering, 4th ed. United States of America: Pearson Education, 2010.
[33] L. Ponlathep, "A simple adaptive signal control algorithm for isolated intersections using time-space diagrams," International IEEE Conference on Intelligent Transportation Systems. ITSC'10, Funchal, 19-22 Sept. 2010, pp.273–278.