交通壅塞避免之動態繞路機制

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：37

、訪客IP：18.191.132.36

姓名

高至怡(Chih-yi Kao) 查詢紙本館藏

畢業系所

資訊管理學系

論文名稱

交通壅塞避免之動態繞路機制
(A Dynamic Detour Mechanism to Avoid Traffic Congestion)

相關論文

★ 具代理人之行動匿名拍賣與付款機制	★ 網路攝影機遠端連線安全性分析
★ HSDPA環境下的複合式細胞切換機制	★ 樹狀結構為基礎之行動隨意網路IP位址分配機制
★ 平面環境中目標區域之偵測 - 使用行動感測網路技術	★ 藍芽Scatternet上的P2P檔案分享機制
★ 運用UWB提升MANET上檔案分享之效能	★ 合作學習平台對團體迷思現象及學習成效之影響–以英文字彙學習為例
★ 以RFID為基礎的室內定位機制─使用虛擬標籤的經驗法則	★ 適用於實體購物情境的行動商品比價系統-使用影像辨識技術
★ 信用卡網路刷卡安全性	★ DEAP:適用於行動RFID系統之高效能動態認證協定
★ 在破產預測與信用評估領域對前處理方式與分類器組合的比較分析	★ 單一類別分類方法於不平衡資料集－搭配遺漏值填補和樣本選取方法
★ 正規化與變數篩選在破產領域的適用性研究	★ 分群式前處理方法於類別不平衡問題之研究

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]

本電子論文使用權限為同意立即開放。
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。
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)

隨著網路技術發展，從固定點的有線網路技術逐漸發展為可移動式的無線網路技術，手機、筆記型電腦、PDA等無線通訊設備皆具備WiFi的功能，隨時隨地可透過無線網路的技術存取相關資訊服務。近年來，數以萬計的車輛在世界的各個角落行駛，車用網路成為眾多國際網通大廠下一步欲開發的市場，透過網路與資訊設備的結合，智慧型運輸系統可提供駕駛人更多元化的交通應用服務。
本研究之目的在於解決交通道路上的壅塞情形，提早分散車流量，增加每條道路的使用率。為了使車輛及早避開壅塞路段，路況資訊由後端伺服器進行蒐集，並透過道路通訊設備協助通知特定車子壅塞資訊，一旦車內通訊設備收到道路壅塞的資訊，避開壅塞路段以及重新挑選一條到達目的地的最短路徑，因此可達成提早分散車流量之目的。其中，當壅塞事件發生時，壅塞通知的範圍是由後端伺服器所決定，在此規範為提前通知距離壅塞道路的n-hop路段，於壅塞通知範圍內的特定車子將排除壅塞路段重選新的路徑。壅塞通知範圍的大小將影響疏散壅塞之成效，如果因選擇範圍過小而過晚通知車內通訊設備，將會導致車子來不及換路便陷於壅塞路段之窘境；若選擇範圍過大則造成過早通知車內通訊設備，將導致換路的車子數量變多、路段的車速變慢以及平均車速下降，因此如何決定n的大小是本研究討論的議題之一。
然而對於上下班的通勤族而言，每日走相似的路徑，若將使用者經過的每一條路段平均花費時間作為選擇該路段的參考依據，未來在重新挑選路徑時，便能夠以過去花費最少時間成本的路徑為優先挑選的對象，此作法不僅可減少使用者到達目的地的時間，還可增加平均車速以及減少道路壅塞的情形，對於分散交通流量亦有改善。根據模擬實驗之結果，改良後的運作模式皆可有效地改善平均車子抵達目的地的時間。

摘要(英)

In the past, we use wired network to surf Internet, but now we can access network services with mobile devices anytime and anywhere, such as cell phone, notebook or PDA with WiFi. In recent years, tens of thousands of vehicles travel on all corners of the world. Vehicular ad hoc network (VANET) becomes more and more attractive to many telecommunication and wireless communication corporations. With the combination of network and information, intelligent transport systems (ITS) can provide many traffic information services to drivers.
The purpose of this study is to solve traffic congestion on the road and increase utilization of each road by balancing traffic flow. In order to avoid vehicles to be involved to congestive roads, the centralized server will collect traffic information from road side units (RSUs). Moreover, on board units (OBUs) can receive congestive information from RSUs if their remainder path suffers from congestion. When an on board unit receives congestive information, it will remove the congestion road on its map and reselect a new path to destination. However, the notification range of congestion event is determined by the server. In this study, the range of congestion notification is defined as n-hop from congestion road. Only the vehicles which locate in the n-hop congestion notification range will receive the message. Therefore, the parameter n will affect the effectiveness of congestion evacuation, and how to determine the size of n is one of the issues in this study.
For some commuters, they drive with a similar path every day. If the on board unit can record the average time of user spending on each road, it can use this information while reselecting a new path. In the simulation results, the average arrival time of users is much shorter, and the average speed of vehicles becomes faster, too. According to these simulation results, with user’s experience can improve traffic congestion significantly.

關鍵字(中)

★ 負載平衡
★ 壅塞避免
★ 智慧型運輸系統

關鍵字(英)

★ Load Balance
★ ITS
★ Congestion Avoidance

論文目次

中文摘要............................................................ i
Abstract........................................................... ii
目錄............................................................... iv
圖目錄............................................................. vi
表目錄............................................................. ix
一、緒論........................................................ 1
1-1 研究背景.................................................. 1
1-2 研究動機與目的............................................ 1
1-3 論文架構.................................................. 3
二、背景與相關研究.............................................. 4
2-1 智慧型運輸系統的基礎技術.................................. 4
2-2 智慧型運輸系統的通訊方式.................................. 8
2-3 智慧型運輸系統的應用服務領域............................. 10
三、交通壅塞避免之動態繞路機制................................. 19
3-1 系統場景................................................. 19
3-2 動態繞路機制............................................. 22
3-2-1 動態繞路機制簡介................................... 22
3-2-2 封包類型........................................... 25
3-2-3 系統設備與方法..................................... 31
3-3 使用者經驗輔助法......................................... 46
3-3-1 使用端設備的經驗法記錄方式......................... 46
3-3-2 使用者經驗輔助機制................................. 47
四、實驗方法與分析............................................. 49
4-1 模擬場景設定............................................. 49
4-2 模擬結果分析............................................. 51
4-2-1 壅塞集中場景....................................... 51
4-2-2 一般場景........................................... 61
4-2-3 使用者經驗輔助法................................... 73
4-3 實驗模擬改善程度......................................... 78
五、結論....................................................... 83
六、文獻參考................................................... 86

參考文獻

[1] T. Vaa, M. Penttinen and I. Spyropoulou, “Intelligent transport systems and effects on road traffic accidents: state of the art,” IET Intelligent Transport Systems, Vol.1, pp.81-88, Jun. 2007
[2] M. Minea, F.D. Grafu and A.C. Cormos, “Reliable Integrated Communications for Urban Intelligent Transport Systems,” 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, pp.617-620, Sept. 2007
[3] Luo Qi, “Research on Intelligent Transportation System Technologies and Applications,” Workshop on Power Electronics and Intelligent Transportation System, pp. 529-531, Aug. 2008
[4] S. Eichler, “Performance Evaluation of the IEEE 802.11p WAVE Communication Standard,” IEEE 66th Vehicular Technology Conference (VTC-2007 Fall.), pp. 2199 - 2203, Sept. 30 2007-Oct. 3 2007
[5] R. Yuan, “North American dedicated short range communications (DSRC) standards, ” IEEE Conference on Intelligent Transportation System, pp. 537-542, Nov. 1997
[6] T.K. Mak, K.P.Laberteaux, R.Sengupta and M. Ergen, “Multichannel Medium Access Control for Dedicated Short-Range Communications,” IEEE Transactions on Vehicular Technology, Vol.58, pp.349–366, Jan. 2009
[7] H. Setiawan, H. Ochi, “Study Feasibility of Common Wireless Communication Services Recognition for GSM, UMTS and LTE,” International Conference on Advanced Technologies for Communications, pp. 253-256, Oct. 2009
[8] C. Dhawan, “Unique Applications and Opportunities in Wireless Computing in Developing Countries,” IEEE International Conference on Personal Wireless Communications, pp. 297-301, Dec. 1997
[9] 陳彥霖,“影像處理與電腦視覺技術應用於複雜文件影像分析、夜間駕駛輔助、以及視訊監控系統之研究,”2006交通大學電控工程系所碩博士論文
[10] 林其德,“以影像處理估測交通流量及其應用於獨立路口的模糊適應性交通號誌管理之研究,” 2006交通大學電機與控制所碩博士論文
[11] 賴文復,“應用類神經網路構建視覺化夜間路口車輛偵測模式,”2004淡江大學運輸管理所碩博士論文
[12] “智慧型運輸系統之發展與影響因素：以高雄市交通管理中心為例,”生活科技教育月刊二○○九年四十二卷第八期
[13] T. Taleb, E. Sakhaee, A. Jamalipour, K. Hashimoto, N. Kato and Y. Nemoto , “A Stable Routing Protocol to Support ITS Services in VANET Networks,” IEEE Transactions on Vehicular Technology, Vol.56, pp. 3337-3347, Nov. 2007
[14] E. Sakhaee and A. Jamalipour, “Stable Clustering and Communications in Pseudolinear Highly Mobile Ad Hoc Networks,” IEEE Transactions on Vehicular Technology, Vol. 57, pp. 3769-3777, Nov. 2008
[15] V. Namboodiri and Lixin Gao, “Prediction-Based Routing for Vehicular Ad Hoc Networks,” IEEE Transactions on Vehicular Technology, Vol.56, pp. 2332-2345, Jul. 2007
[16] Kun-chan Lan, Chung-Ming Huang and Chang-Zhou Tsai, “On the locality of vehicle movement for vehicle-infrastructure communication,” 8th International Conference on ITS Telecommunications, pp. 116-120, Oct. 2008
[17] K. Sampigethaya, Mingyan Li, Leping Huang and R. Poovendran, “AMOEBA: Robust Location Privacy Scheme for VANET,” IEEE Journal on Selected Areas in Communications, Vol. 25, pp. 1569-1589, Oct. 2007
[18] B. Jarupan and E. Ekici, “Location- and Delay-Aware Cross-Layer Communication in V2I Multihop Vehicular Networks,” IEEE Communications Magazine, Vol.47, pp. 112-118, Nov. 2009
[19] Stough, Roger, Intelligent Transport Systems: Cases and Policies, Edward Elgar Publishing, Northampton, Massachusetts, ed. 2001
[20] N. B. Hounsell, B. P. Shrestha, J. Piao and M. McDonald, “Review of urban traffic management and the impacts of new vehicle technologies,” IET Intelligent Transport Systems,Vol.3, pp. 419 - 428 , Dec. 2009
[21] A. Tok, Shin-Ting Jeng, Hang Liu and S.G. Ritchie, “Design and Initial Implementation of an Inductive Signature-Based Real-Time Traffic Performance Measurement System,” 11th International IEEE Conference on Intelligent Transportation Systems, pp. 216-221, Oct. 2008
[22] Xie Binglei, Hu Zheng and Ma Hongwei, “Fuzzy-logic-based traffic incident detection algorithm for freeway,” 2008 International Conference on Machine Learning and Cybernetics, Vol. 3, pp.1254-1259, Jul. 2008
[23] Heum Park, Soonho Kwon and Hyuk-Chul Kwon, “Ontology-based Approach to Intelligent Ubiquitous Tourist Information System,” Proceedings of the 4th International Conference on Ubiquitous Information Technologies & Applications, pp. 1-6, Dec. 2009
[24] Ta-Yin Hu and Li-Wen Chen, “Real-Time Implementation of Simulation-based Dynamic Traffic Assignment Model,” 11th International IEEE Conference on Intelligent Transportation Systems, pp. 645-650, Oct. 2008
[25] Luo Yong and Luo Xia, “Safety Driving Decision-Making of the AVCSS,” International Conference on Intelligent Computation Technology and Automation (ICICTA), Vol. 2, pp. 477-481, Oct. 2008
[26] A. Sebastian, Maolin Tang, Yanming Feng and M. Looi, “Multi-Vehicles Interaction Graph Model for Cooperative Collision Warning System,” IEEE Intelligent Vehicles Symposium 2009, pp. 929-934, Jun. 2009
[27] Kuong-Ho Chen, Chyi-Ren Dow, and Sheng-Jie Guan, “Public Transportation Transit Planning Using Semantic Service Composition Schemes,” 11th International IEEE Conference on Intelligent Transportation Systems, pp. 723-728, Oct. 2008
[28] Karl Rehrl, Stefan Bruntsch, and Hans-Joachim Mentz, “Assisting Multimodal Travelers: Design and Prototypical Implementation of a Personal Travel Companion,” IEEE Transactions on Intelligent Transportation Systems, Vol. 8, Issue 1, pp. 31-42, Mar. 2007
[29] C.M. Walton, “A Concept of IVHS in Commercial Vehicle Operation: The HELP/Crescent Program,” Vehicle Navigation and Information Systems Conference, pp. 343-353, Oct. 1991
[30] H.J. Song, H.P. Hsu, E. Yasan, R.W. Wiese, “New Approach to Predict the Quality of Service of Vehicle-Based GPS System in Mobile Environment,” IEEE 70th Vehicular Technology Conference Fall (VTC 2009-Fall), pp. 1-5, Sept. 2009
[31] J. Ali, S. Nasim, T. Ali, N. Ahmed, S.R. un Nabi, “Implementation of GSM Based Commercial Automobile Tracker Using PIC 18F452 and Development of Google Earth Embedded Monitoring Software,” IEEE Student Conference on Research and Development (SCOReD), pp. 33-36, Nov. 2009.
[32] Cormen, H. Thomas, Leiserson, E. Charles, Rivest, L. Ronald, Stein and Clifford, Section 24.3: Dijkstra's algorithm, MIT Press and McGraw-Hill, pp. 595–601, 2001
[33] T. Issariyakul and E. Hossain, Introduction to Network Simulator NS2, Springer, Nov. 2008

指導教授

蘇坤良(Kuen-liang Sue)

審核日期

2010-7-14

推文