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研究生: 郭壽曾
Kuo, Shou-Tseng
論文名稱: 將智慧型運輸系統整合與台灣地區高快速路網長假期交通管理規劃之研究
Integrating Intelligent Transportation Systems into Traffic Management Planning for Long-Holidays on Freeway/Expressway in Taiwan
指導教授: 丁國樑
Ting, Kuo-Liang
學位類別: 碩士
Master
系所名稱: 管理學院 - 交通管理科學系
Department of Transportation and Communication Management Science
論文出版年: 2006
畢業學年度: 94
語文別: 英文
論文頁數: 82
中文關鍵詞: 短期運輸規劃長假期DYNASMART先進旅行者資訊系統智慧型運輸系統
外文關鍵詞: DYNASMART, Long holidays, Intelligent Transportation Systems, Short term transportation planning, Advanced Traveler Information System
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  • 近年來由於高速公路交通量不斷成長,導致容量逐漸接近飽和,然而受限於環境及其他外在條件的限制,現有高速公路系統無法不斷擴充,致使壅塞情況日益惡化。利用智慧型運輸系統的發展,將其融合於短期運輸規劃及交通管理策略,為可行的解決方案,然而智慧型運輸系統於短期運輸規劃之應用成效,特別是先進旅行者資訊系統(ATIS)影響車流需求與供給間的變化,則需要有效的方法加以評估。本研究針對台灣地區春節假期高速公路之交通建立效益評估架構,應用DYNASMART車流模擬軟體評估先進旅行者資訊系統之影響,模擬結果顯示使用先進旅行者資訊系統的用路人可以有效節省其旅行時間達1.4至5.8%,因此對於全系統含ATIS使用者及非使用者都有助益,此外先進旅行者資訊系統的市場普及度對於整體及個體用戶也有明顯的影響。

    Integrating Intelligent Transportation Systems (ITS) technologies are increasingly becoming prevalent in the Traffic Management Center (TMC) of a city in order to address various traffic conditions. However, evaluation of Intelligent Transportation Systems (ITS) for short-term planning projects, particularly for Advanced Traveler Information System (ATIS), requires the use of appropriate tools that can capture the interactions between demand and supply. The objective of this thesis is to develop a methodological framework for such applications to solve the traffic congestion observed on the freeways/expressways network in Taiwan during Chinese New Year using DYNASMART-P. The results from the simulation experiments illustrate that the drivers using information from ATIS could potentially make better travel decisions to reduce travel time, thereby benefiting both guided drivers as well as those without such access. However, market penetration of ATIS can have dramatic effects on the performance of the transportation system in terms of overall benefits as well as the distributional effects between guided and unguided drivers.

    Abstract---------------------------------------------------------------I Acknowledgement-------------------------------------------------------II Table of Contents----------------------------------------------------III List of Figures--------------------------------------------------------V List of Tables--------------------------------------------------------VI Chapter 1 Introduction-------------------------------------------------1 1.1 Background---------------------------------------------------------1 1.2 Motivation and Thesis Objectives-----------------------------------2 1.3 Scope and Limitation-----------------------------------------------3 1.4 Organization of Thesis---------------------------------------------3 Chapter 2 Background Review--------------------------------------------4 2.1 Transportation Planning Process Involving ITS----------------------4 2.1.1 Transportation Plan/Transportation Improvement Programs----------5 2.1.2 Corridor/Sub-Area Study------------------------------------------5 2.1.2.1 Alternatives Development---------------------------------------7 2.1.2.2 Measures of Effectiveness--------------------------------------8 2.2 Evaluation of ATIS------------------------------------------------12 2.3 Freeway Control Strategies----------------------------------------14 2.3.1 Ramp Metering---------------------------------------------------14 2.3.2 Mainline Control------------------------------------------------14 2.4 Traffic Simulation Involving ITS----------------------------------16 2.4.1 Functional Requirements of Modeling ATIS/ATMS-------------------16 2.4.2 Types of Traffic Simulation Models------------------------------17 2.4.2.1 PRUEVIIN------------------------------------------------------17 2.4.2.2 CORSIM--------------------------------------------------------18 2.4.2.3 DYNASMART-P---------------------------------------------------19 Chapter 3 Research Methodologies--------------------------------------21 3.1 DYNASMART-P-------------------------------------------------------21 3.1.1 Model Structure of DYNASMART-P----------------------------------21 3.1.2.1 Traffic Simulation Component----------------------------------22 3.1.2.2 User Behavior Component---------------------------------------22 3.1.2.3 Path Processing-----------------------------------------------23 3.1.3 Traffic Simulation in DYNASMART-P-------------------------------23 3.1.4 Freeway Controls------------------------------------------------24 3.1.4.1 Ramp Control--------------------------------------------------24 3.1.4.2 VMS-----------------------------------------------------------25 3.1.5 Multiple Vehicle Classes----------------------------------------26 3.2 Analysis Framework------------------------------------------------27 Chapter 4 Modeling and Calibration of the Study Network---------------29 4.1 Study Network Description-----------------------------------------29 4.2 Data Processing---------------------------------------------------31 4.3 Origin/Destination Trip Matrix------------------------------------36 4.3.1 Historical Toll Station Traffic Counts--------------------------39 4.3.2 Chinese New Year Origin/Destination Trip Demand-----------------39 4.3.3 Calibration of Chinese New Year OD Demand-----------------------42 4.4 Representation of ATIS/VMS Strategies-----------------------------44 4.4.1 Modeling ATIS/VMS with Instantaneous Information----------------44 4.4.2 Modeling Dissemination of VMS Information-----------------------45 4.5 Experimental Design-----------------------------------------------46 4.5.1 ATIS Evaluation Methodology-------------------------------------46 4.5.2 Description of the Experiments----------------------------------47 Chapter 5 Experimental Results----------------------------------------51 5.1 Baseline Performance----------------------------------------------51 5.2 ATIS – Boundedly Rational Behaviour------------------------------52 5.2.1 User Performance------------------------------------------------52 5.2.2 System Performance----------------------------------------------62 5.2.3 Summary---------------------------------------------------------65 5.3 ATIS – Myopic User Behaviour-------------------------------------66 5.3.1 User Performance------------------------------------------------66 5.3.2 System Performance----------------------------------------------70 5.3.3 Summary---------------------------------------------------------71 Chapter 6 Conclusions and Recommendation------------------------------72 6.1 Conclusions-------------------------------------------------------72 6.2 Thesis Contribution-----------------------------------------------72 6.3 Scope of Future Research------------------------------------------73 Reference-------------------------------------------------------------74

    1. Federal Highway Adminstration, Transcore, Integrating Intelligent Transportation Systems within the Planning Process: An Interim Handbook, Washington, D.C., 1997.

    2. National Transit Institute, Parsons Brinckerhoff Inc., MIS Desk Reference, National Transit Institute Training Program for Major Investment Studies, Rutgers University, New Brunswick, New Jersey, 1996.

    3. Mitretek Systems, Studies of Potential Intelligent Transportation Systems Benefits Using Traffic Simulation Modeling, U.S. Department of Transportation, FHWA-JPO, Washington, D.C., 1996.

    4. Mitretek Systems, Studies of Potential Intelligent Transportation Systems Benefits Using Traffic Simulation Modeling: Volume II, U.S. Department of Transportation, FHWA-JPO, Washington, D.C., 1997.

    5. Mitretek Systems, Incorporating ITS into Transportation Planning: Phase 1 Final Report, U.S. Department of Transportation, FHWA-JPO, Washington, D.C., 1997.

    6. David C. Clark, Dr. William T. Scherer, Dr. Brian L. Smith, Performance-Cost Evaluation Methodology for ITS Equipment Deployment, Center for Transportation Studies, University of Virginia, 2000

    7. Proper, Allen T, Intelligent Transportation System Benefits: 1999 Update, USDOT Report FHWA-OP-99-012. Washington, DC, 1999.

    8. Texas Department of Transportation, A Proposed ITS Evaluation Framework for Texas, U.S. Department of Transportation, FHWA, Austin, Texas, 1999

    9. Texas Department of Transportation, Measures of Effectiveness for Major Investment Studies, Texas Department of Transportation, Austin, Texas, 1997

    10. Cambridge Systematics Inc., Task B--Initial Performance Measures: In Metropolitan Planning Technical Report. Report No. 2, Federal Highway Administration, Washington, D.C., 1994.

    11. Meyer, M.D, Alternative Performance Measures for Transportation Planning: Evolution Toward Multimodal Planning. Report No. FTA-GA-26-7000-95-1, Georgia Institute of Technology, Atlanta, Georgia, 1995.

    12. Ewing, R. Measuring Transportation Performance. Transportation Quarterly, Vol. 49, No. 1, Eno Transportation Foundation, Lansdowne, Virginia, 1995.

    13. Gordon, R. L., et al., Traffic Control Systems Handbook. Federal Highway Administration, Report No. FHWA-SA-95-032, Washington, D.C., 1996

    14. Masroor Hasan, Mithilesh Jha, Moshe Ben-Akiva, Evaluation of ramp control algorithms using microscopic traffic simulation, Transportation Research Part C, pp229-256, 2002

    15. Papageorgiou, M., Hadj-Salem, H., and Middelham, F., ALINEA Local Ramp Metering: Summary of Field Results, Transportation Research Record 1603, pp. 90-98., 1997

    16. Hani S. Mahmassani, Didier M. Valdes, Randy B. Machemehl, John S. Tassoulas, and James C. Williams, Integrated Arterial and Freeway Operation Control Strategies for IVHS Advanced Traffic Management Systems: Research Report 1468-1. The University of Texas at Austin., 1998

    17. Institute of Transportation Engineers, Traffic Control Systems Handbook, Washington, D.C., 1985

    18. R. Jayakrishnan, Michael Cohen, John Kim, A Simulation-based Framework for the Analysis of Traffic Networks Operating with Real-time Information, CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIES, UCB-ITS-PRR-93-25, 1993

    19. Mahmassani, H.S. and R. Jayakrishnan, System Performance and User Response under Real-Time Information in a Congested Traffic Corridor, Transportation Research A, Vol. 25A, No. 5, pp. 293-307., 1991

    20. Srinivas Peeta M.S, System Optimal Dynamic Traffic Assignment In Congested Networks with Advanced Information System, The University of Texas at Austin, 1994

    21. Sharon Adams Boxill and Lei Yu, An Evaluation of Traffic Simulation Models for Supporting ITS Development, NTIS Technical Report 167602-1, 2000

    22. Mitretek Systems, Incorporating ITS into Corridor Planning: Seattle Case Study, U.S. Department of Transportation, FHWA-JPO, Washington, D.C., 1997.

    23. TRB Circular, Traffic Analysis Software Tools, September, 2000

    24. Van Aerde, M., INTEGRATION: Users Guide for Model Version 2.0, Transportation Systems Group, Queen’s University and M. Van Aerde Associates, Ltd. Canada, 1999.

    25. ITT Industries System Division, CORSIM User’s Guide, Federal Highway Administration (FHWA), DTFH61-01-C-00005, 2003

    26. Owen, Larry E., Greg Krueger, Scott Mastbrook, Lei Rao, and Srinivasa Sunkari. Data Requirements for Traffic Model Validation. Kaman Sciences Corporation Research Report, DTFH61-95-C-001 25, 1996.

    27. Hani S. Mahmassani, Ta-Yin Hu, Srinivas Peeta and Athanasios Ziliaskopoulos, Development and Testing of Dynamic Traffic Assignment for ATIS/ATMS application, Center for Transportation Research, The University of Texas at Austin, 1994

    28. Los Angeles County Metropolitan Transportation Authority, Parsons Brinckerhoff Quade & Douglas, Inc., Kaku Associates, Inc., Texas Transportation Institute, Strategic Consulting & Research, Heidi Stamm Public Affairs. High Occupancy Vehicle Performance Program Evaluation Report, 2002.

    29. Hani. S. Mahmassani, Hayssam Sbayti, and Xuesong Zhou, DYNASMART-P user guide, Maryland Transportation Initiative, University of Maryland, 2004

    30. Insitute of Transportation MOTC, Taiwan-Area 2001 Highway Capacity Manual, 2001

    31. Mahmassani, H. S., and Stephan, D. G., Experimental Investigation of Route and Departure Time Dynamics of Urban Commuters, Transportation Research Record 1203, pp. 69-84, 1988

    32. Levinson, D., The Value of Advanced Traveler Information Systems For Route Choice, Transportation Research Part C, 11, Elsevier Science Publishing Company, 1999

    33. Wunderlich, K., Hardy, M., Larkin J., Shah V., On-Time Reliability Impacts of Advanced Traveler Information Services (ATIS): Washington DC Case Study, Mitretek Systems, 2001

    34. Yang, Q., Koutsopoulos H.N., Ben-Akiva M.E., A Simulation Laboratory for Evaluating Dynamic Traffic Management Systems. In Proceedings of the 79th Annual Meeting of The Transportation Research Board, 1999

    35. Al-Deek, H. and Kanafani, A., Modeling the Benefits of Advanced Traveler Information Systems in Corridors with Incidents, Transportation Research, 1993.

    36. Gardes, Y. and May, A. D., Simulation of IVHS on the Santa Monica Freeway Corridor using the INTEGRATION model. Phase 2: Preliminary ATIS and ATMS Experiments, PATH Research Report UCB-ITS-PWP-93-6, 1993.

    37. Arnott, R., de Palma, A. and Lindsey, R., Does Information to Drivers Reduce Traffic Congestion?, Transportation Research, 1991

    38. Kaysi, I., Frameworks and Models for the Provision of Real-Time Driver Information, Ph.D. thesis, Department of Civil Engineering, Massachusetts Institute of Technology, Cambridge MA, 1992

    39. Balakrishna, R., Koutsopoulos, H.N., Simulation-Based Evaluation of DynaMIT’s Route Guidance and its Impact on Travel Times, In Proceedings of the 10th World Conference on Transport Research, July 4-8, Istanbul, Turkey, 2004

    40. Bonsall, P. W. and Merrall A. C, Analyzing and Modeling the Influence of Roadside Variable Message Display on Drivers' Route Choice, World Transport Research: Proceedings of the 7th World Conference on Transport Research, vol. 1: Traveler Behavior. Elseveir, Oxford, 1997.

    41. Chatterjee, K., Hounsell, N. B., Firmin, P. E. and Bonsall, P. W. Driver Response to Variable Message Sign Information in London. Transportation Research, 2000.

    42. Wardman, P., Bonsall, P. W., and Shires, J. D. Driver Response to Variable Message Signs: A Stated Preference Investigation, Transportation Research, 1997.

    43. Peeta, S., Ramos, J. L., and Pasupathy, R., Content of Variable Message Signs and On-Line Driver Behavior, Submitted for Presentation at the 79th Annual Meeting of the Transportation Research Board and Publication in Transportation Research Record, 2000.

    44. Liu, Y. S., Day-to-Day Dynamics of Commuter Behavior under Real-Time Traffic Information, doctoral dissertation, The University of Texas at Austin

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