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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 土木工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64983
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dc.contributor.advisor謝尚賢(Shang-Hsien Hsieh)
dc.contributor.authorHui-Hsin Chengen
dc.contributor.author鄭惠心zh_TW
dc.date.accessioned2021-06-16T23:11:54Z-
dc.date.available2025-03-03
dc.date.copyright2020-03-03
dc.date.issued2020
dc.date.submitted2020-02-24
dc.identifier.citation1. Hughes, R.L., A continuum theory for the flow of pedestrians. Transportation Research Part B: Methodological, 2002. 36(6):p. 507-535.
2. Marksjö, P.G.G.a.B., A micro-simulation model for pedestrian flows. Mathematics and Computers in Simulation, 1985. 27(2-3): p. 95-105.
3. Bittar, J. and K. Thangavelu, Contiguous floor channeling elevator dispatching. 1989, Google Patents.
4. Building Technical Regulations. 1999, Comstruction And Planning Agency Ministry of the Interior.
5. Design Specifications of Accessible and Usable Buildings and Facilities. 2008, Comstruction And Planning Agency Ministry of the Interior.
6. Linzey, M., Optimum Lift Design for Tall Buildings. Building Science, 1973. 8: p. 6.
7. Eastman, C., Teicholz, Paul, Sacks, Rafael, Liston, Kathleen, BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. 2011: John Wiley & Sons.
8. Hermann Mayer, W.K., Christian Frey, Simon Daum, Peter Kielar, André Borrmann. Pedestrian simulation based on BIM data. in ASHRAE/IBPSA-USA Bldg Simulation Conf. 2014.
9. N. A. Alexandris, G.C.B., C. J. Harris Multi-car lift system analysis and design, in Applied Mathematical Modelling. 1978. p. 5.
10. Casey, M.J. Work in progress: How building informational modeling may unify IT in the civil engineering curriculum. in 2008 38th Annual Frontiers in Education Conference. 2008. Saratoga Springs, NY, USA: IEEE.
11. Rüppel, U. and K. Schatz, Designing a BIM-based serious game for fire safety evacuation simulations. Advanced engineering informatics, 2011. 25(4): p. 600-611.
12. Marzouk, M. and I. Al Daour, Planning labor evacuation for construction sites using BIM and agent-based simulation. Safety science, 2018. 109: p. 174-185.
13. Schadschneider, A., Klüpfel, Hubert, Kretz, Tobias, Rogsch, Christian and Seyfried, Armin, Fundamentals of pedestrian and evacuation dynamics, in Multi-Agent Systems for Traffic and Transportation Engineering. 2009, IGI Global. p. 124-154.
14. Lam, W.H.K., J.F. Morrall, and H. Ho, Pedestrian flow characteristics in Hong Kong. Transportation research record : journal of the Transportation Research Board 1995: p. 56-62.
15. Asano, M., T. Iryo, and M. Kuwahara, Microscopic pedestrian simulation model combined with a tactical model for route choice behaviour. Transportation Research Part C: Emerging Technologies, 2010. 18(6): p. 842-855.
16. Al-nasur, S. and P. Kachroo, A Microscopic-To-Macroscopic Crowd Dynamic Model, in 2006 IEEE Intelligent Transportation Systems Conference. 2006: Toronto, Ont, p. 606-611.
17. Helbing, D., Farkas, Illes J, Molnar, Peter and Vicsek, Tamás, Simulation of pedestrian crowds in normal and evacuation situations. Pedestrian and evacuation dynamics, 2002: p. 21-58.
18. Okazakia, S. and S. Matsushitaa, A Study of Simulation Model for Pedestrian Movement with Evacuation and Queuing, in Proceedings of the International Conference on Engineering for Crowd Safety. 1993.
19. Blue, V.J. and J.L. Adler, Emergent Fundamental Pedestrian Flows from Cellular Automata Microsimulation. 1998: p. 29-36.
20. Teknomo, K., Takeyama, Yasushi, Inamura, Hajime, Review on microscopic pedestrian simulation model. Computer Science, 2016.
21. Siebers, P.O., Macal, C. M., Garnett, J., Buxton, D. and Pidd, M., Discrete-event simulation is dead, long live agent-based simulation! Journal of Simulation, 2017. 4(3): p. 204-210.
22. Narayanan, L.R.S., Human-in-the-Loop Simulations. 1 ed. 2011. p.261.
23. Hall, E.T., The Silent Language. 1990/08/01.
24. Borshchev and Andrei, From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons,Techniques, Tools. 2004.
25. Donelan, J.M., R. Kram, and A.D. Kuo, Mechanical and metabolic determinants of the preferred step width in human walking. Proc Biol Sci, 2001. 268(1480): p. 1985-92.
26. Angerhofer, B.J. and M.C. Angelides. System dynamics modelling in supply chain management: research review. in Proceedings of the 32nd conference on Winter simulation. 2000. Society for Computer Simulation International.
27. Braun, R., Doytchinov, Bogdan, Fitt, Alistair, Pennell, Stephen, Please, Colin, Srinivasan, Ravi, Servatius, Hermann and Witelski, Thomas. Need a Lift? An Elevator Queueing Problem. in Computer Science. 2004.
28. 許舜翔, 以跨鏡頭多目標追蹤分析建築內使用者行為 . 臺灣大學土木工程學研究所學位論文, 2019: p. 1-102.
29. 2019; Available from: http://www.yungtay.com.tw/services.php?articles_id=8.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64983-
dc.description.abstract在電梯設計中,往往依循建築法規作為設計準則,然而法規只規定電梯設計之最低標準,並無明定電梯於建築物中之確切位置。行人的行為與電梯配置皆會影響電梯之服務水準,但目前的電梯設計方式尚無完善地考慮行人流因素,因此本研究透過 BIM 有提供完善建築全生命週期屬性資料之特性,結合行人流模擬技術,旨在建築設計階段中體現營運維護階段的潛在問題與加速電梯設計之迭代過程,並透過台大土木研究大樓等實際案例驗證此研究目的。
本研究藉由行人流模擬體現人與人、人與環境之互動,並模擬行人於電梯搭乘尖峰時段之行人行為。以往電梯設計只能確保電梯的平均等待時間,而忽略了在電梯尖峰搭乘時段中,行人之等待時間往往會相當久,因此本研究基於 BIM 提供的建築屬性資料與行人流模擬方法,提出一套應用建築資訊模型於電梯設計之人流模擬分析架構,確保電梯在尖峰搭乘時段中維持一定的服務水準,為傳統電梯設計提供一套新的方法,使電梯設計不僅能符合建築法規所限定之最低標準,還能透過快速地行人流模擬分析,確保電梯在運行時段中都能維持一定的服務水準。
本研究以土木研究大樓等實際案例,透過仿真行人流模擬參數與電梯運行策略,達成模擬與真實世界相互匹配之結果,並總結出行人等待電梯之時間受到行人流進入速率、電梯速度與電梯容量等因素影響:當行人流進入速率增加時,增加電梯速度會比增加電梯容量,更有效減少行人平均等待時間;當行人數目增加而行人流速率不變時,增加電梯容量會比增加電梯速度,更有效減少行人平均等待時間。本研究亦分析不同電梯設計下之電梯建造成本與後續營運維護成本。
zh_TW
dc.description.abstractThis paper presents a framework for evaluating and accelerating the lift design iteration of a building by integrating BIM technology and pedestrian flow simulation. We also estimate the pedestrian waiting time for lifts in the building and cost for lifts by taking pedestrian behavior into consideration in this framework. Besides, in this study pedestrian flow simulation model is utilized to implement agent-based simulation and to imitate pedestrian behavior when taking lifts under various conditions. After that, a design evaluation is imported to the original building design. The proposed framework is examined by a case study in the Civil Engineering Research Building in National Taiwan University campus.
There are three main advantageous points of our simulation model. First, building information can be automatically extracted from a BIM model and a simplified 3D model can be created immediately for pedestrian flow simulation. Second, parameters like lift type, lift velocity and the pedestrian entry rate can be flexibly adjusted in the simulation model for comparing the simulation results on the variation of the design parameters. Last but not the least, the design evaluation can be fed back to the original design and the objects we want to change in the BIM model can be automatically filtered. Therefore, the potential issues at operation stage of the building lifts can be observed at the initial design stage using the proposed framework and the design iteration can also be reduced in this study.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T23:11:54Z (GMT). No. of bitstreams: 1
ntu-109-R06521606-1.pdf: 3366505 bytes, checksum: 89f59f280385c82176bdf4eefb38dc76 (MD5)
Previous issue date: 2020
en
dc.description.tableofcontentsTable of Content
致謝.......i
摘要.........ii
Abstract ..........................iii
Table of Content ...................iv
List of Figures ....................vi
List of Tables .................... viii
1. Introduction ......................1
2. Related work ..................... 4
2.1 Traditional Lift Design Procedure .........4
2.2 Building Information Modeling ................5
2.3 Pedestrian Flow Simulation ................ 7
3. The proposed BIM-based pedestrian flow simulation framework for lift design ....13
3.1 BIM Data Extraction Module ...................... 15
3.2 Pedestrian Simulation Module ................................................................ 17
3.2.1 Simplified 3D model creation ................... 18
3.2.2 Multiple Approach Simulation ...................... 20
3.2.3 Data Visualization of Simulation ................. 26
3.3 Design Evaluation Module ................ 27
4. Case Study ................... 28
4.1 Data Extraction from BIM Model .............. 29
4.2 Pedestrian Flow Simulation .............. 31
4.2.1 Pedestrian Flow Simulation Model .............. 31
4.2.2 Lift Dispatching Logic ........................... 34
4.3 Discussion on The Simulation Result ............. 36
4.3.1 Waiting Time Analysis On the Variation of Lift Capacity ..... 39
4.3.2 Cost Analysis On the Variation of Lift Capacity ... 40
4.3.3 Waiting Time Analysis On the Variation of Lift Velocity ....... 41
4.3.4 Cost Analysis On the Variation of Lift Velocity ........... 42
4.3.5 Operation and Maintenance Cost of Lifts ........ 43
4.3.6 Waiting Time Analysis On the Variation of Pedestrian Entry Rate ... 46
4.4 Design Evaluation Process ................. 47
5. Conclusion and Future Work ......... 50
5.1 Conclusion .............................. 50
5.2 Future direction and challenges ........... 51
6. References .......................... 52
dc.language.isoen
dc.subjectBIMzh_TW
dc.subject行人流模擬zh_TW
dc.subject行人行為zh_TW
dc.subject電梯設計zh_TW
dc.subject設計迭代zh_TW
dc.subjectBIMen
dc.subjectpedestrian flow simulationen
dc.subjectlift designen
dc.subjectpedestrian behavioren
dc.subjectdesign iterationen
dc.title應用建築資訊模型於電梯設計之人流模擬分析zh_TW
dc.titleA framework for building lift design evaluation based on BIM and pedestrian simulationen
dc.typeThesis
dc.date.schoolyear108-1
dc.description.degree碩士
dc.contributor.oralexamcommittee朱致遠(James C. Chu),周建成(Chien-Cheng Chou)
dc.subject.keywordBIM,行人流模擬,行人行為,電梯設計,設計迭代,zh_TW
dc.subject.keywordBIM,pedestrian flow simulation,lift design,pedestrian behavior,design iteration,en
dc.relation.page54
dc.identifier.doi10.6342/NTU202000571
dc.rights.note有償授權
dc.date.accepted2020-02-24
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
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