自西元1672年製造出第一輛以蒸汽為動力的車輛至今，世界上的汽車產量仍不停地增加也愈來愈普及，因此ITS(Intelligent Transportation System，智慧運輸系統)的發展及應用也逐漸受到關注，尤其是在行車安全這一塊尤為重要，透過OBD-II(the Second On-Board Diagnostics，車載自動診斷系統)的介面，可以取得儲存在車輛中的車況資訊，只要以更清楚便利的方式呈現，就可以幫助駕駛對於車輛狀況的掌握更加的準確。本論文的內容是撰寫Android應用程式在Android based的智慧型裝置上透過WIFI無線訊號與OBD-II進行溝通，即時取得車況資訊，將紀錄在汽車的晶片中的診斷故障代碼(DTC，Diagnostic Trouble Codes)封包接收後解析，不僅可以省去進廠使用OBD檢測儀器(OBD Scan Tool)讀出的程序，對於行車前的車況了解更能即時準確；將車輛行駛動力資訊搭配行車錄影紀錄，有別於一般市售的行車紀錄器(EDR，Event Data Recorder)僅能側錄行車影像，提供車輛行駛中更加完整的反應動作軌跡的紀錄，當事故發生時，對於肇事責任的判定也會有很大的幫助。

Since 1672 to produce the first one to steam-powered vehicles. The world's automobile production has kept increasing and more popular. So the development and application of ITS (Intelligent Transportation System, Intelligent Transportation Systems) capture attention gradually, especially the safety traffic area is important. The condition information saved in the vehicle can be received through OBD-II (the Second On-Board Diagnostics, board automatic diagnostic system) interface. As long as presented more clearly and convenient, it can help driver grasp the condition of the vehicle more accurately. In this paper we propose an Android application via WIFI wireless signals to communicate with OBD-II in the Android based smart device. To access the condition information immediately and to parse the DTC (Diagnostic Trouble Codes) that recorded in the vehicle's chip after receiving. Not only eliminates the process which use OBD testing equipment (OBD Scan Tool) into the plant, but also understands the condition more immediate and accurately before driving. Recording the driving motion track information with the vehicle driving video provides more complete motion track records. And it's different from commercially available tachograph only skimming lane images. It will be a great benefit to determine the responsibility belong to when the accident occurred.

目錄
目　錄	III
圖目錄	V
表目錄	VI
第一章、	簡介	1
1.1 研究背景	1
1.2 研究動機與目的	3
1.3 研究方法	5
1.4 論文架構	7
第二章、	相關研究	8
第三章、	背景知識	12
3.1 Android系統	12
3.1.1 Android的特色	13
3.1.2 Android平台的架構	17
3.1.3 Android開發環境建立	22
3.1.4 Eclipse的安裝和使用方法	24
3.1.5 編譯Android並發布至智慧型裝置	28
3.2 OBD-II車載診斷系統	31
3.2.1 OBD發展歷史	31
3.2.2 OBD-II系統特色	34
3.2.3 OBD-II系統運作解析（車輛引擎端）	35
3.2.4 OBD-II系統運作解析（檢測儀端）	37
3.2.5 OBD-II系統故障碼解析	38
第四章、	智慧型手機及OBD-II系統之智慧行車系統	43
4.1 系統目標	43
4.2 實作架構	44
4.3 實作過程	46
4.3.1 實作上遇到的困難	46
4.3.2 解決方式	47
4.4 OBD-II封包解析流程	50
第五章、	結論與未來研究方向	53
參考文獻	54
附錄-英文論文	57

圖目錄
圖 1　Android架構圖	17
圖 2　JDK6下載頁面	24
圖 3　Eclipse IDE下載頁面	25
圖 4　下載ADT擴充套件	25
圖 5　Android SDK下載頁面	26
圖 6　建立AVD	26
圖 7　在AVD上發布程式	27
圖 8　Google USB Driver安裝	29
圖 9　開啟手機上的偵錯模式	29
圖 10　Eclipse偵測到智慧型裝置	30
圖 11　診斷執行器與八項監測器的測試關聯	36
圖 12　OBD-II故障碼定義	40
圖 13　OBD-II PID碼診斷傳回值	42
圖 14　OBD-II與智慧型裝置傳輸關係圖	44
圖 15　OBD-II系統運作流程圖	45
圖 16　以Arduino + Wi-Fi模組製作的OBD-II訊號產生器	47
圖 17　OBD-II訊號產生器介面	48
圖 18　撰寫Windows程式接收並解析OBD-II訊號產生器所發出來的訊號	49
圖 19　智慧型裝置傳送封包至ECU的流程	50
圖 20　發送請求車況資訊的封包	50
圖 21　OBD-II回傳車況訊息的封包	51
圖 22　ECU傳送的OBD-II封包	51

表目錄
表 1　民國99-101年道路交通事故統計表	3
表 2　相關文獻的研究目的比較表	10
表 3　Android各版本名稱與用戶分布	13
表 4　OBD-II故障碼前兩碼定義及代碼	41
表 5　SAE-J1979標準的10種操作模式	42
表 6　系統定義故障碼類別對照表	52

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