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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. |
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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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