博碩士論文 983202087 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:16 、訪客IP:3.238.72.180
姓名 葉朝元(Chao-yuan Yeh)  查詢紙本館藏   畢業系所 土木工程學系
論文名稱 緊急疏散指示系統之設計與評估
(Design and Evaluation for Emergency Evacuation Guidance Systems)
相關論文
★ 考量擾動因子情況下傳統鐵路時刻表建置合併於高速鐵路時刻表模型之回顧與探討★ 整合八分樹結構與適應性網格於光達資料重建室內建物三維模型之研究
★ 交通改善計畫對區域交通汙染排放之影響-以臺鐵桃園段高架化為例★ 合作與競爭賽局策略下之行人模擬
★ 結合最適控制與養護門檻策略之運輸設施生命週期管理★ 動態混合模式架構下之運輸設施生命週期管理求解方法研究
★ 應用相關均衡賽局與時空網路於行人模擬之研究★ 供應鏈策略應用於營建產業之研究
★ 道路防災保護決策最佳化之研究★ 運輸設施生命週期管理維護策略訂定之研究
★ 臺鐵桃園段高架化建設計畫對區域交通汙染排放影響之探討★ 考量避開擁塞行為之細胞自動機行人模擬模式
★ 動態緊急疏散指示系統之設計與評估★ 市區公車路線調整最佳化模式
★ 市區公車路線及排程最佳化模式
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 由於行人們很容易在各種類型的緊急事件中受到傷害,因此,規劃行人在大型公眾聚集的建築物中疏散是非常重要的。在建築物中發生緊急事件時,其中一項最關鍵的準備措施就是建築物裡的疏散指示。本研究提出了一個方法,用於在複雜的建築空間中設計一套緊急疏散指示系統,此系統涵蓋所有空間且包含了最短路徑的疏散路線。因為這個問題以一般的方式解決相當的困難,所以,本研究將這個問題分成兩個步驟去解決。第一個步驟,建立一套沒有限制逃生指示裝置數量的理想化緊急疏散指示系統。在第二個步驟,以理想化的緊急疏散指示系統作基礎,減少逃生指示裝置的數量到一個合理的數字,並使這些逃生指示裝置所涵蓋的面積能達到最大範圍,產生實際的緊急疏散指示系統,其方法為求解一個有額外限制條件的最大涵蓋面積問題。而以理想化的緊急疏散指示系統當作基礎來建立實際的緊急疏散指示系統主要有兩個原因。第一,從理想化的緊急疏散指示系統篩選逃生指示裝置所安裝的位置可以大大地限制最大涵蓋面積問題的可行解空間。第二,實際的緊急疏散指示系統已經不再需要重新計算疏散路線,因為這些疏散路線在理想化的緊急疏散指示系統裡早已計算過,都可以直接用在實際的緊急疏散指示系統中。最後,以全台灣最大的交通樞紐,台北車站地下一樓為實例,用以評估本研究所提出的方法之成效。評估的結果顯示出本研究所提出的方法是非常有效的,並且可以用來幫助建築物中疏散路線的規劃。
摘要(英) The planning for pedestrian evacuation in large public gathering buildings is important because they are vulnerable to various types of emergency events. One of the most critical measures of the preparedness of a building during these events is its evacuation guidance. The paper proposes a method for designing evacuation guidance systems in complex building spaces by solving a maximum coverage problem with side constraints of number of signs and evacuation routes. The solution of the problem is difficult to find in general so the problem is solved in two steps. The first step generates an ideal evacuation guidance system with unlimited number of signs. In the second step, the ideal system is reduced to the actual guidance system with a reasonable number of signs by constraining the number of signs and maximizing the sign coverage. There are two reasons for using the ideal system as a basis for generating the actual guidance system. First, the solution space of the maximum coverage problem is greatly restricted by limiting the sign installation choices to the candidate locations found in the ideal system. Second, calculating evacuation routes for the actual system is not necessary because the routes are readily available from the ideal guidance system. Finally, an example based on a transportation terminal is presented to validate the methodology. The results show that the proposed methodology is effective and can be used for supporting emergency evacuation planning for buildings.
關鍵字(中) ★ 能見度圖
★ 最大涵蓋問題
★ 虛擬實境
★ 逃生指示
★ 疏散指示系統
關鍵字(英) ★ maximum coverage problem
★ virtual reality
★ visibility graph
★ emergency sign
★ evacuation guidance system
論文目次 目 錄
摘要 i
ABSTRACT ii
目 錄 iv
圖 目 錄 vi
表 目 錄 viii
第一章、 緒論 1
1.1 研究動機 1
1.2 研究目的與內容 2
第二章、 文獻回顧 5
2.1 逃生指示系統 5
2.1.1 疏散指示 5
2.1.2 找尋路徑和能見度圖 12
2.2 逃生指示裝置之相關法規 14
2.3 虛擬實境 20
2.3.1 虛擬實境介紹 20
2.3.2 虛擬實境之應用 21
第三章、 研究方法 29
3.1 理想的緊急疏散指示系統 29
3.1.1 能見度圖 29
3.1.2 計算疏散路線 35
3.1.3 找出篩選過的位置 37
3.1.4 考慮多重出口 38
3.2 產生實際的緊急疏散指示系統 39
第四章、 實例評估 44
4.1 評估緊急疏散指示系統之計畫 44
4.1.1 評估實例之介紹 44
4.1.2 理想的疏散指引系統 47
4.1.3 實際的緊急疏散指示系統 49
4.2 評估方式 53
4.2.1 模擬情境設定 53
4.2.2 測試人員與虛擬實境之設定 68
4.3 評估結果與分析 73
第五章、 結論與建議 81
5.1 結論 81
5.2 未來研究之方向 82
參考文獻 83
參考文獻 Ahuja, R. K., Magnanti, T. L., and Orlin, J. B. (1993). Network Flow: Theory, Algorithms, and Applications. Prentice-Hall, Inc.
Chen, C., Li, Q., Kaneko, S., Chen, J., and Cui, X. (2009). “Location optimization algorithm for emergency signs in public facilities and its application to a single-floor supermarket.” Fire Safety Journal, 44(1), 113–120.
Chow, W. K. and Lui, G. C. H. (2002). “Numerical studies on evacuation design in a karaoke.” Building and environment, 37(3), 285–294.
de Berg, M., Cheong, O., van Kreveld, M., and Overmars, M. (2008). Computational Geometry: Algorithms and Applications. Springer-Verlag, New York, NY, USA, 3 edition.
Gilber, P. H., Isenberg, J., Baecher, G. B., Papay, L. T., Speilvogel, L. G., Woodard, J. B., and Badolato, E. (2003). “Infrastructure issues for cities-countering terrorist threat.” Journal of Infrastructure Systems, 9, 44.
Golledge, R. (1999). Wayfinding behavior: Cognitive mapping and other spatial processes. Johns Hopkins Univ Pr.
Jin, T. (2002). “Visibility and human behavior in fire smoke.” SFPE Handbook of Fire Protection Engineering, P. J. DiNenno, ed., National Fire Protection Association, Quincy, MA, USA, 3 edition.
Johnson, N. and Feinberg, W. (1997). “The impact of exit instructions and number of exits in fire emergencies: A computer simulation investigation.” Journal of Environmental Psychology, 17(2), 123–133.
Kalafatas, G. and Peeta, S. (2009). “Planning for evacuation: insights from an efficient network design model.” Journal of Infrastructure Systems, 15, 21.
Kobes, M., Helsloot, I., de Vries, B., Post, J. G., Oberij’e, N., and Groenewegen, K. (2010). “Way finding during fire evacuation; an analysis of unannounced fire drills in a hotel at night.” Building and Environment, 45(3), 537–548.
Lo, S., Huang, H., Wang, P., and Yuen, K. (2006). “A game theory based exit selection model for evacuation.” Fire Safety Journal, 41(5), 364–369.
Millington, I. and Funge, J. (2009). Artificial Intelligence for Games. Morgan Kaufmann Publishers, Burlington, MA, USA, 2 edition.
Nakanishi, H. (2005). “Virtual City Simulator for Education, Training, and Guidance.” Monitoring, Security, and Rescue Techniques in Multiagent Systems, 423–437.
Nakanishi, H., Koizumi, S., Ishida, T., and Ito, H. (2004). “Transcendent communication: location-based guidance for large-scale public spaces.” Proceedings of the SIGCHI conference on Human factors in computing systems, ACM. 662.
O’Neill, M. (1991). “Effects of signage and floor plan configuration on wayfinding accuracy.” Environment and Behavior, 23(5), 553–574.
Pu, S. and Zlatanova, S. (2005). “Evacuation route calculation of inner buildings.” Geo-information for disaster management, 1143–1161.
Rohnert, H. (1986). “Shortest paths in the plane with convex polygonal obstacles.” Information Processing Letters, 23(2), 71–76.
Stansfield, S., Miner, N., Shawver, D., and Rogers, D. (1995). “An Application of Shared Virtual Reality to Situational Training.” Proceedings of the Virtual Reality Annual International Symposium '95 (VRAIS 95, pp. 156-161). Los Alamitos, CA: IEEE.
Tang, C., Wu, W., and Lin, C. (2009). “Using virtual reality to determine how emergency signs facilitate way-finding.” Applied Ergonomics, 40(4), 722–730.
Wang, P., Luh, P., Chang, S., and Marsh, K. (2009). “Efficient optimization of building emergency evacuation considering social bond of evacuees.” IEEE International Conference on Automation Science and Engineering (CASE), 2009. 250–255.
Wang, P., Luh, P., Chang, S., and Sun, J. (2008). “Modeling and optimization of crowd guidance for building emergency evacuation.” IEEE International Conference on Automation Science and Engineering (CASE), 2008. 328–334.
Welzl, E. (1985). “Constructing the visibility graph for n-line segments in O(n2) time.”Information Processing Letters, 20(4), 167–171.
Wolshon, B. and McArdle, B. (2009). “Temporospatial analysis of Hurricane Katrinaregional evacuation traffic patterns.” Journal of Infrastructure Systems, 15, 12.
Wong, L. T. and Lo, K. C. (2007). “Experimental study on visibility of exit signs inbuildings.” Building and Environment, 42(4), 1836–1842.
周文忠 (2005). “虛擬實境之意義與應用.” 資訊科學應用期刊, 1(1), P121-127.
指導教授 朱致遠(Chih-yuan Chu) 審核日期 2011-7-26
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明