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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/119175


    Title: 基於eTag資料流的區段道路即時交通狀況解析機制
    Detection Schemes for Segmented Realtime Traffic Conditions based on eTag Data Streams
    Authors: 洪靜誼
    Hung, Ching-I
    Contributors: 廖峻鋒
    Liao, Chun-Feng
    洪靜誼
    Hung, Ching-I
    Keywords: 電子標籤
    無線射頻辨識
    旅行時間
    eTag
    RFID
    Travel time
    Date: 2018
    Issue Date: 2018-08-02 16:39:52 (UTC+8)
    Abstract:   交通管理單位為獲得道路交通狀況,在道路上安裝車輛偵測器(Vehicle Detector,VD)蒐集交通資料,多以線圈式偵測器、微波式偵測器或影像式偵測器形式取得,但這些方式往往會有取得單點交通資料、建置成本高或維護不易等問題,故若能以經濟的方式快速布建、維護簡便又可取得精確之交通資料,一直是交通部門所關注之議題,受惠於國道高速公路計程電子收費ETC(Electronic Toll Collection)系統實施後,在臺灣的車輛因安裝電子標籤(eTag)使用率高,其eTag內含電子產品碼(Electronic Product Code,EPC)可使用無線射頻辨識(Radio Frequency Identification,RFID)技術偵測,具有唯一碼及可追蹤之特性,本研究提出一個提供即時交通資訊的自動化架構,透過布設在市區道路eTag偵測設備,蒐集通過偵測點之車輛EPC碼、車輛數、通過時間,取得旅行時間、道路平均速率等交通特性資料,這些資訊可提供給用路人參考,亦可輔助交通管理策略擬定,經實驗結果證明此方法準確且實用。
    In order to analysis traffic and road conditions, the transportation of department has utilised different types of vehicle detectors(VD) on the roads to collect traffic data, such as inductive loop, microwave radars or video image processor. However, the availability of real time traffic information suffers from the spot speed data, high construction cost and maintenance difficulty issues in the traditional data collection techniques. Therefore, rapid economic installation, easy maintenance and accurate traffic information have always been the focus of the transportation sectors. Benefiting from the implementation of the Electronic Toll Collection (ETC) system on freeways, the vehicles in Taiwan due to the high usage of eTag allow the government to gather traffic information to enable efficient traffic management.A tag containing a unique Electronic Product Code (EPC) is used for tracing and identifying. This study proposes an automated scheme that provides real time traffic information. Through the deployment of eTag detectors in the urban roads, we can collect EPC codes, traffic flow volumes and time. We can get traffic characteristics such as travel time, average road speed, etc. After being collected and extracted, useful information can be distributed to the drivers on the road. These raw traffic data also play a key role in traffic engineering analysis and policy decisions. The results of the experiments prove that our proposed methods are accurate and practical.
    Reference: [1] T. Hunter, R. Herring, P. Abbeel, and A. Bayen, "Path and travel time inference from GPS probe vehicle data," NIPS Analyzing Networks and Learning with Graphs, vol. 12, no. 1, 2009.
    [2] R. Russel, "How does Google maps calculate your eta," Forbes, Tech. http://www. forbes. com/sites/quora/2013/07/31/how-does-google-maps-calculateyour-eta, 2013.
    [3] 交通部高速公路局. (2018). 交通部高速公路局ETC利用率. Available: https://www.freeway.gov.tw/UserFiles/%E6%A5%AD%E5%8B%99%E8%A1%A801010B-etc%E5%88%A9%E7%94%A8%E7%8E%87_1070503.pdf
    [4] P. T. Martin, Y. Feng, and X. Wang, "Detector technology evaluation," Citeseer2003.
    [5] 鼎漢國際工程顧問股份有限公司, "106年度臺北市運輸走廊整合道路交通與電信資訊應用計畫期末報告書," pp. 2-11, 2018. 臺北市交通管制工程處
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    [7] J. You and T. J. Kim, "Development and evaluation of a hybrid travel time forecasting model," Transportation Research Part C: Emerging Technologies, vol. 8, no. 1-6, pp. 231-256, 2000.
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    [12] W.-H. Lin, A. Kulkarni, and P. Mirchandani, "Short-term arterial travel time prediction for advanced traveler information systems," in Intelligent Transportation Systems, 2004, vol. 8, no. 3, pp. 143-154: Taylor & Francis.
    [13] L. RUIMIN, G. ROSE, and M. SARVI, "Predicting travel time and its variability in the short term," in PROCEEDINGS OF THE 14TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD BEIJING, OCTOBER 2007, 2007.
    [14] C.-S. Li and M.-C. Chen, "A data mining based approach for travel time prediction in freeway with non-recurrent congestion," Neurocomputing, vol. 133, pp. 74-83, 2014.
    [15] H. Laura and Drotleff, "The Reality of RFID," Career and Technical Education, vol. 22, no. 3, pp. 8-9, 2004.
    [16] J. Emigh, "RFID and the Future of Asset Protection," Access Control& Security Systems, vol. 47, no. 2, pp. 38-39, 2004.
    [17] GS1, "The GS1 EPCglobal Architecture Framework," p. 42, 2015.
    [18] G. EPCglobal, "EPC radio-frequency identity protocols generation-2 UHF RFID; specification for RFID air interface protocol for communications at 860 MHz–960 MHz," EPCglobal Inc., November, 2013.
    [19] S. Leaver, T. Mendelsohn, C. S. Overby, and E. H. Yuen, "Evaluating RFID middleware," RFID Journal (September 2004), 2004.
    [20] "The application level events (ALE) specification, version 1.1.1 Part I: Core Specification," EPCglobal Proposed Standard, 2009.
    [21] 交通部高速公路局. (2017). 交通部臺灣區國道高速公路局通行量正確率. Available: https://www.freeway.gov.tw/UserFiles/%E6%A5%AD%E5%8B%99%E8%A1%A801010D-%E9%80%9A%E8%A1%8C%E9%87%8F%E6%AD%A3%E7%A2%BA%E7%8E%87_1061123.pdf
    [22] 交通部運輸研究所, "臺灣地區先進交通管理系統(ATMS)中都市交通號誌控制邏輯標準化與系統建置標準作業程序之研究(二)─定時式/動態式控制邏輯標準化:規劃報告," 2001.
    [23] Y. Liu, X. Lai, and G.-L. Chang, "Detector placement strategies for freeway travel time estimation," in Intelligent Transportation Systems Conference, 2006. ITSC'06. IEEE, 2006, pp. 499-504: IEEE.
    [24] M. Jo, S.-H. Cha, H. Choo, and H.-H. Chen, "Prediction of RFID tag detection for a stationary carton box," in Sensing Technology, 2008. ICST 2008. 3rd International Conference on, 2008, pp. 248-253: IEEE.
    [25] M. Jo and H. Youn, "Intelligent recognition of RFID tag position," Electronics Letters, vol. 44, no. 4, pp. 308-310, 2008.
    [26] 交通部, "都市交通控制通訊協定3.1," 2006.
    [27] 交通部運輸研究所, "2011年臺灣公路容量手冊," 2011.
    [28] L. Sydanheimo, J. Nummela, L. Ukkonen, J. McVay, A. Hoorfar, and M. Kivikoski, "Characterization of passive UHF RFID tag performance," IEEE Antennas and Propagation Magazine, vol. 50, no. 3, pp. 207-212, 2008.
    [29] 國家通訊傳播委員會, "低功率射頻電機技術規範," pp. 26-27, 2016
    Description: 碩士
    國立政治大學
    資訊科學系碩士在職專班
    104971009
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0104971009
    Data Type: thesis
    DOI: 10.6814/THE.NCCU.EMCS.003.2018.B02
    Appears in Collections:[資訊科學系碩士在職專班] 學位論文

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