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姓名 李昇鴻(Sheng-Hong Li) 查詢紙本館藏 畢業系所 資訊工程學系 論文名稱 利用車載網路即時分享都會區交通資訊
(Sharing Urban Traffic Information in VANET)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) 由於車輛在近20年當中成長的速度相當驚人，相對於道路的擴展速度卻是趨於緩慢，因此塞車已經是世界各大都會區所需要面對的問題。駕駛遇到塞車時會浪費許多時間和燃料，也會造成環境上的污染。根據日本政府單位的研究報告日本每年因為塞車所造成經濟上的損失高達1千億美金。若是駕駛可以提早知道哪些路段現階段是屬於塞車的情況，則可以避開此路段，藉此減緩塞車問題。
由於都會區紅綠燈交通管制為一種人為障礙，在相同的路況之中，會因為紅綠燈影響到其旅行時間，因此無法只靠旅行時間去判斷此路段的交通狀況。此篇論文透過實際在台北市開車記錄GPS所收集位置與時間的資訊，將其轉換成時間與空間的平均速度兩個值，評估是否能夠利用前面車輛傳達的經驗資訊有供後來者參考，協助有效地選擇花費時間最短的路線。此外將時間與空間的平均速度結合上一個行經此路線的旅行時間，更能準確地預估所需要的旅行時間。
摘要(英) As the vehicles in the past 20 years the pace of growth was quite startling, as opposed to the expansion of the road tends to slow the speed of it is, so traffic is already the world’’s urban areas need to face. Traffic congestion will be consumed drivers a lot of time and fuel, may also result in environmental pollution. According to the Japanese government study in Japan because of traffic congestion caused by the economic loss of up to 1 billion U.S. dollars every year. If drivers know which roads is serious traffic congestion, they can make a detour, so that the problem of traffic congestion can mitigate.
In urban area, traffic light is a contrived obstacle, in the same traffic state, traffic lights will affect the travel time and therefore can not rely on the travel time to determine the traffic conditions. This paper to drive through the actual record in Taipei collected GPS location and time information to be converted to temporal mean speed and spatial mean speed. Assess whether the use of the vehicle in front of information to convey the experience to choose the shortest route. In addition to the temporal mean speed and spatial mean speed combined with the travel time of the vehicle in front, a more accurate estimate of travel time required.
關鍵字(中) ★ 車載網路
★ GPS導航系統
★ 紅綠燈關鍵字(英) ★ Traffic lights
★ GPS navigation
★ VANET論文目次 摘要 i
Abstract ii
誌謝 iii
目錄 iv
圖目錄 vi
表目錄 vii
第一章 緒論 1
1-1 研究背景 1
1-2 研究動機 2
1-3 研究目標 3
1-4 論文架構 3
第二章 相關研究 4
2-1 高速公路旅行時間預測 4
2-2 Vehicle Information and Communication System 5
2-3 Efficient VANET-Based Traffic Information Sharing using Buses on Regular Route 6
2-4 Gossip: Estimating Actual Travelling Time Using Vehicle to Vehicle Communication 7
2-5 A Novel Real-time Traffic Information System Based on Wireless Mesh Network 8
2-6 Surface street traffic estimation 10
2-7 Adaptive Traffic Lights Using Car-to-Car Communication 11
2-8 CarTel: a distributed mobile sensor computing system 12
2-9 Mobile Millennium 13
第三章 系統設計 15
3-1 系統架構 15
3-2 評估等待紅燈時間 17
3-3 預測旅行時間 18
第四章 系統分析 19
4-1 紅綠燈對交通偵測影響 19
4-2 實測旅行時間 22
4-3 驗證時間和空間平均速度是否能分辨交通狀況 24
第五章 模擬 26
5-1 實驗環境 26
5-2 實驗數據 26
第六章 結論與未來工作 30
參考文獻 31
附錄：研究論文計畫口試建議改進事項 33
參考文獻 [1]VICS, http://www.vics.or.jp/english/index.html
[2]台北市政府交通局, http://www.dot.taipei.gov.tw/
[3]Dash Navigation, http://www.dash.net/
[4]Wischoff, L.; Ebner, A.; Rohling, H.; Lott, M.; Halfmann, R. “SOTIS - a self-organizing traffic information system”, Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual
[5]Shibata Naoki, Terauchi Takashi, Kitani Tomoya, Yasumoto Keiichi, Ito Minoru, Higashino Teruo, “A Method for Sharing Traffic Jam Information using Inter-Vehicle Communication”, Mobile and Ubiquitous Systems: Networking & Services, 2006
[6]Kitani, T.; Shinkawa, T.; Shibata, N.; Yasumoto, K.; Ito, M.; Higashino, T. “Efficient VANET-Based Traffic Information Sharing using Buses on Regular Routes”, Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
[7]Lochert, C.; Scheuermann, B.; Caliskan, M.; Mauve, M. “The feasibility of information dissemination in vehicular ad-hoc networks”, Wireless on Demand Network Systems and Services, 2007. WONS '07.
[8]Sooksan Panichpapiboon, Wasan Pattara-atikom, “Connectivity Requirements for Self-Organizing Traffic Information Systems”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, NOV 2008
[9]Giovanni Malnati, Caterina Maria Cuva, Claudia Barberis, “Gossip: Estimating Actual Travelling Time Using Vehicle to Vehicle Communication” , Fourth International Workshop on Intelligent Transportation, Hamburg 2007
[10]Tamer Nadeem, Sasan Dashtinezhad, Chunyuan Liao, Liviu Ifode, “TrafficView: Traffic Data Dissemination using Car-to-Car Communication” Mobile Computing and Communications Review, 2004
[11]Jungkeun Yoon, Brian Noble, Mingyan Liu, “Surface street traffic estimation”, MobiSys, 2007
[12]交通部台灣區國道高速公路局, http://www.freeway.gov.tw/
[13]Xuedan Zhang, Jun Hong, Shuai Fan, Zhong Wei, Jiannong Cao, Yong Ren, “A Novel Real-time Traffic Information System Based on Wireless Mesh Networks” Intelligent Transportation Systems Conference, 2007.
[14]Victor Gradinescu, Cristian Gorgorin, Raluca Disconescu, Valentin Cristea, Liviu Infode, “Adaptive Traffic Lights Using Car-to-Car Communication”, Vehicular Technology Conference, 2007
[15]Bret Hull, Vladimir Bychkovsky, Yang Zhang, Kevin Chen, Michel Goraczko,Allen Miu, Eugene Shih, Hari Balakrishnan, Samuel Madden” CarTel: a distributed mobile sensor computing system”, Conference On Embedded Networked Sensor Systems, 2006
[16]Jakob Eriksson, Lewis Girod, Bret Hull, Ryan Newton, Samuel Madden, Hari Balakrishnan, “The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring”, MobiSys, 2008
[17]Jakob Eriksson, Hari Balakrishnan, Samuel Madden, “Cabernet: Vehicular Content Delivery Using WiFi”, Mobicom, 2008
[18]Mobile Millennium, http://traffic.berkeley.edu/
[19]WIFLY, http://www.wifly.com.tw/Wifly6/tw
[20]SUMO, http://sumo.sourceforge.net/index.shtml
指導教授 曾黎明(Li-Ming Tseng) 審核日期 2009-7-29 推文 plurk
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