博碩士論文 995302031 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:23 、訪客IP:54.237.183.249
姓名 曾錦華(Jin-Hua Tseng)  查詢紙本館藏   畢業系所 資訊工程學系在職專班
論文名稱 智慧都市中應用車載網路以改善壅塞之調適性虛擬交通號誌
(Adaptive Virtual Traffic Light Based on VANETs for Mitigating Congestion in Smart City)
相關論文
★ 無線行動隨意網路上穩定品質服務路由機制之研究★ 應用多重移動式代理人之網路管理系統
★ 應用移動式代理人之網路協同防衛系統★ 鏈路狀態資訊不確定下QoS路由之研究
★ 以訊務觀察法改善光突發交換技術之路徑建立效能★ 感測網路與競局理論應用於舒適性空調之研究
★ 以搜尋樹為基礎之無線感測網路繞徑演算法★ 基於無線感測網路之行動裝置輕型定位系統
★ 多媒體導覽玩具車★ 以Smart Floor為基礎之導覽玩具車
★ 行動社群網路服務管理系統-應用於發展遲緩兒家庭★ 具位置感知之穿戴式行動廣告系統
★ 調適性車載廣播★ 車載網路上具預警能力之車輛碰撞避免機制
★ 應用於無線車載網路上之合作式交通資訊傳播機制以改善車輛擁塞★ 車載虛擬交通號誌環境下 Green Wave 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]   至系統瀏覽論文 ( 永不開放)
摘要(中) 智慧都市(Smart City)儼然成為現在各大先進國家區域發展的重要指標。智慧都市是以資通科技為核心,利用通訊感測技術擷取都市內各種訊息,且分析訊息和整合都市中核心系統,並串聯物與物和人與物之間的網路,傳遞都市內的各項訊息與提供服務,藉此提升生活品質、交通運輸、環境保護、公共安全及工商活動。由於都市十字路口之交通號誌有可能會損壞,且考量建置和維護成本下,導致部份路口無法安裝實體交通號誌,進而造成用路人安全之威脅、降低車輛移動性和交通壅塞。由於車載無線網路技術使車輛之間通訊和車輛與路邊基礎建設(Road Side Unit)通訊進行資料的交換。因此,本論文探討以車載無線網路技術為基礎建設虛擬交通號誌,其機制可以改善交通壅塞和降低交通號誌建置成本。目前許多虛擬交通號誌機制文獻僅局限於單一十字路環境下,然而現實環境中道路相連時,車流會互相影響,因此本論文考慮連鎖交通號誌控制將可改善用路效益,如平均車速。此外,本論探討不同車種之用路需求,並針對緊急用車給予快速通過路口。綜合上述,本論文提出調適性虛擬交通號誌(Adaptive Virtual Traffic Light),在交通流量較稀疏時,依車輛種類進行交通號誌控制,對交通流量較大之道路進行連鎖虛擬交通號誌控制,以改善交通壅塞情形。最後,實驗模擬顯示在交通流量較小時,所有車輛平均車速可提升33.1%,緊急用車平均速度可提升49.2%。在交通流量較大時,所有車輛平均車速可提升36.8%,緊急用車平均速度可提升95.7%。
摘要(英) Smart City has become an important indicator of the regional development of major advanced countries.Smart city is provided with technology which combines the use of communication sensing technology to capture a variety of messages within the city,the analysis of the received messages and integrated city system, the serial network among things and persons ,and then the service provider to improve the quality of life, transportation, environmental protection, public safety and commercial activities.Traffic signals on the intersections may be damaged ,and the costs of their building and maintenance are considered as well. Some of the intersections can not install entity traffic signals, thereby cause a threat to the safety of road users and reduce the movement of vehicles and traffic congestion.Vehicle wireless network technology enables the communication among vehicles and Road Side Unit to exchange information. Therefore, this paper discusses the scheme of virtual traffic lights are based on vehicle wireless network technology , and its can improve traffic congestion and reduce the construction costs of traffic lights.Much virtual traffic lights scheme literature is limited to a single intersection environment. When the roads are connected to the real environment, the traffic flow will affect each other. This paper considers that the chain traffic control will improve the road users’ benefits, such as average speed.In addition, this paper explores the needs for different types of vehicles on the road and the needs to give fast passing through the intersection for emergency vehicles. To sum up, this paper proposes the Adaptive Virtual Traffic Light. When the traffic flow is light, it is according to the type of vehicles to control traffic lights. Otherwise, the virtual traffic lights control will work in chain to improve traffic congestion on heavy traffic flow.Finally, the experimental simulation shows that when the traffic flow is light, the average speed of all vehicles increases 33.1 percent, and the average speed of emergency vehicles increases 49.2%. In heavy traffic, the average speed of all vehicles Increases 36.8 percent, and the average speed of emergency vehicles increases 95.7%.
關鍵字(中) ★ 智慧型都市
★ 調適性
★ 虛擬交通號誌
★ 車載網路
關鍵字(英) ★ VANETs
★ virtual traffic light
★ smart city
★ adaptive
論文目次 摘要 I
Abstract II
致謝 III
表目錄 XII
1. 緒論 1
1.1. 概要 1
1.2. 研究動機 2
1.3. 研究目的 3
1.4. 論文架構 4
2. 背景知識及相關研究 5
2.1. 智慧都市 5
2.2. 車載網路 7
2.3. 調適性交通號誌系統 9
2.4. 偵測交通壅塞區域 10
2.5. 虛擬交通號誌 10
2.6. 相關文獻比較 12
3. 調適性虛擬交通號誌機制 14
3.1. 機制假設 14
3.2. 系統架構 15
3.3. 系統模組 16
3.4. 運作流程 19
3.5. 調適性虛擬交通號誌機制 21
3.5.1. 規劃 21
3.5.2. 管理-未考量左右轉交通號誌 28
3.5.3. 管理-考量左右轉交通號誌 36
3.5.4. 操作 38
3.6. 虛擬交通號誌週期時間與優先權計算 43
4. 模擬結果 52
4.1. 實驗環境設定 53
4.2. 實驗參數與測量指標 54
4.3. 未考量左右轉交通號誌之實驗 63
4.3.1. 實驗一:小型用車在85%時,各種交通號誌機制因車輛數對各車種平均車速之影響 63
4.3.2. 實驗二:小型用車在97%時,各種交通號誌機制因車輛數對各車種平均車速之影響 69
4.3.3. 實驗三:AVTL-M機制因不同車輛權重對各車種平均車速之影響 79
4.3.4. 實驗四:AVTL-M機制因不同連鎖交通號誌週期時間上限值對各車種在主幹道和支線道平均車速之影響 84
4.3.5. 實驗五:AVTL-M機制因啟用連鎖交通號誌車輛密度不同對各車種在主幹道和支線道平均車速之影響 94
4.4. 考量左右轉交通號誌之實驗 104
4.4.1. 實驗一:小型用車在97%且 VTL相關機制有考量左右轉時,各種交通號誌機制因車輛數對各車種平均車速之影響 104
4.4.2. 實驗二:VTL相關機制有考量左右轉時,AVTL-M機制因不同車輛權重對各車種平均車速之影響 112
4.4.3. 實驗三:VTL相關機制有考量左右轉時,AVTL-M機制因不同連鎖交通號誌週期時間上限值對各車種在主幹道和支線道平均車速之影響 115
4.4.4. 實驗四:VTL相關機制有考量左右轉時,AVTL-M機制因啟用連鎖交通號誌車輛密度不同對各車種在主幹道和支線道平均車速之影響 123
5. 結論與未來工作 131
5.1. 結論 131
5.2. 研究限制 132
5.3. 未來工作 134
參考文獻 參考文獻
[1] K. Su, J. Li and Hongbo Fu , “Smart City and the Applications,” Electronics, Communications and Control (ICECC), 2011 International Conference on, Wuhan, China , pp.1028 – 1031,Sept,2011.
[2] Smart Transportation Systems, http://www.pikeresearch.com/research/smart- transportation-systems
[3] IEEE Standard Association, http://standards.ieee.org/.
[4] Vehicle Ad-hoc Networks, http://en.wikipedia.org/wiki/Vehicular_ad-hoc_network/.
[5] Dedicated Short Range Communications, http://en.wikipedia.org/wiki/Dedicated_short- range_communications/.
[6] O.K. Tonguz, “Biologically inspired solutions to fundamental transportation problems,” IEEE Communications Magazine , vol. 49, No. 11, pp. 106-115, Nov, 2011.
[7] S. Alexandre,C.Hugo,M.Hugo and J.Nuno , “Distributed Virtual Traffic Light System,” May, 2010
[8] ITSBerkeley, http://www.techtransfer.berkeley.edu/
[9] B. Zhou, J.Cao and H. Wu, “Adaptive traffic light control of multiple intersections in WSN-based ITS,” Vehicular Technology Conference, pp. 1-5, March, 2011.
[10] M. Ferreira and M.D. Pedro, “On the Impact of Virtual Traffic Lights on Carbon Emissions Mitigation,” IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , vol. 13, No. 1, pp. 284-295, March, 2012.
[11] Y.K. Juan, L. Wang, J. Wang, J.O. Leckie and K.M. Li, “A decision-support system for smarter city planning and management,” IBM Journal of Research and Development, vol. 55, No. 1&2, pp. 30-41, Jan./March, 2011.
[12] C.Tripp, M.Mateos, P.Regañas,A.Mezher, and M. Aguilar, “Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights,” Conference, June 2012
[13] IEEE 1609 - Family of Standards for Wireless Access in Vehicular Environments (WAVE), http://www.standards.its.dot.gov/
[14] Intelligent Transportation Society of Taiwan, http://www.its-taiwan.org.tw/index2.htm
[15] IEEE 802.11 Official Timelines ,http://www.ieee802.org/11/Reports/ 802.11_Timelines.htm
[16] V.Gradinescu, “Adaptive Traffic Lights Using Car to Car Communication,” Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th, pp. 21-25, April 2007
[17] M.Kimura,“A Route Discovery Method for Alleviating Traffic Congestion Based on VANETs in Urban Transportations Considering a Relation between Vehicle Decsity and Average Velocity,” Autonomous Decentralized Systems (ISADS), 2011 10th International Symposium on, pp. 299-304, March 2011
[18] T.Suzuki, M.Kitamura, Y.Amano and T.Hashizume, “High-Accuracy GPS and GLONASS Positioning by Multipath”IEEE International Conference, pp. 311-316, May 2011
[19] Stop sign, http://en.wikipedia.org/wiki/Stop_sign
[20] ISO 15623, Transport Information and Control Systems-Forward Vehicle Collision Warning Systems-Performance Requirements and Test Procedures
[21] G. Zhang and Y. Wang, “Optimizing minimum and maximum green time settings for traffic actuated control at isolated intersections,” IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol. 12, No. 1, MARCH 2011
[22] NCTUns 6.0 Network Simulator and Emulator, http://nsl.csie.nctu.edu.tw/ nctuns.html
[23] Random Waypoint Model (rwp-model), http://www.netlab.tkk.fi/~esa/java/rwp/ rwp-model.shtml
[24] S.Y. Wang and C.L. Chou, “NCTUns Tool for Wireless Vehicular Communication Network Researches,” Simulation Modelling Practice and Theory, Vol. 17, No. 7, pp. 1211-1226, Aug. 2009.
[25] S.Y. Wang, C.L. Chou, and C.C. Lin, “The GUI User Manual for the NCTUns 6.0 Network Simulator and Emulator,” http://nsl10.csie.nctu.edu.tw/support/documentation /GUIManual.pdf
[26] S.Y. Wang, C.L. Chou, C. C. Lin, and C.H. Huang, “The Protocol Developer Manual for the NCTUns 6.0 Network Simulator and Emulator,” http://nsl10.csie.nctu.edu.tw/ support/documentation/DeveloperManual.pdf
[27] Z. Tian, T. Urbanik and R.Gibby, “Application of Diamond Interchange Control Strategies at Closely-Spaced Intersections”, Transportation Research Record, Vol. 2035, 2007, pp. 32-39.
[28] J. Harri, F. Filali and C. Bonnet, “Mobility models for vehicular ad hoc networks: a survey and taxonomy”, IEEE Communications Surveys & Tutorials, Vol.11, No.4, pp.19-41, Fourth Quarter 2009
[29] Greenshield’s Model, http://www.webs1.uidaho.edu/niatt_labmanual/Chapters/ trafficflowtheory/theoryandconcepts/GreenshieldsModel.htm
[30] 交通部臺灣區國道高速公路局,http://www.freeway.gov.tw/
[31] 台灣運輸安全網站資料系統, http://talas-pub.iot.gov.tw/
[32] 交通部運輸研究所,都市交通號誌全動態控制邏輯模式之研究, 初版, 3月, 1997
[33] 高雄市政府交通局,http://www.tbkc.gov.tw/
[34] 交通部運輸研究所,交通號誌時制重整計畫(I)-標準作業程序建立, 4月, 2007
[35] 中華民國交通部統計查詢網-機動車輛登記數, http://stat.motc.gov.tw/
指導教授 周立德(Li-Der Chou) 審核日期 2012-8-30
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