近年來腳踏車風氣盛行，若能使用物聯網技術使腳踏車更加的有智慧，不但可增加道路安全性，亦可提供騎士許多便利性服務。有鑑於目前將車載通訊技術及iBeacon技術運用於腳踏車系統相當少見，因此，本論文結合Android智慧型手機、iBeacon以及NFC技術，實作一「智慧腳踏車車隊與景點導覽系統」，使腳踏車騎士能夠經由此系統增加出遊的便利性及意願性。
本研究希望建置一智慧車隊系統，提供使用者在騎乘腳踏車時進行組隊，並可藉由系統中的通訊模組在騎乘過程中與車隊隊員進行語音通訊，達到交流彼此資訊之目的。而景點導覽系統提供使用者景點之定位與景點導航，並進行建築物與所在地點之路徑規劃，且使用者可經由多樣化方式閱覽詳細之景點資訊，包含Beacon推播、掃描QRcode及NFC感應Tag，而景點的簡介可透過圖文、語音及影片顯示。本論文希望透過此兩系統來突顯景點特色，亦可讓使用者或腳踏車騎士增加騎車意願。

In recent years, bicycles have become popular. If you can use the Internet of Things technology to make your bicycle more intelligent, it will not only increase road safety, but also provide many convenience services for the Cavaliers. In view of the fact that the application of in-vehicle communication technology and iBeacon technology to bicycle systems is quite rare, this paper combines Android smart phones, iBeacon and NFC technology to implement an " Intelligent Guiding System for Bicycle Team " to enable bicycle riders to This system increases the convenience and willingness of travel.
    This paper hopes to build a fleet communication system to provide users with team riding when riding a bicycle. The communication module in the system can communicate with the team members during the ride to achieve mutual information exchange. . The attraction navigation system provides the location and navigation of the user's attractions, and the path planning of the building and the location, and the user can view detailed information of the attractions through various ways, including Beacon push, scan QRcode and NFC induction. Tag, and the profile of the attraction can be displayed through graphic, voice and video. This paper hopes to highlight the characteristics of the attraction through these two systems, and also allows users or bicycle riders to increase their willingness to ride.

第一章、簡介	1
第二章、相關研究	5
第三章、背景知識	8
3-1.	Android 作業系統	8
3-2.	QR Code技術與簡介	11
3-3.	低功耗藍牙與iBeacon技術與簡介	12
3-4.	NFC 技術與簡介	13
第四章、系統架構	15
4-1.	Google地圖服務模組	16
4-2.	智慧車隊模組	17
4-3.	景點介紹模組	18
4-4.	數據辨識模組	18
4-5.	資料庫連結模組與伺服器端	20
第五章、系統展示	23
5-1.	智慧車隊系統	24
5-2.	景點導覽系統	28
第六章、結論	35
參考文獻	36
附錄-英文論文	38

圖目錄
圖1. YouBike 場站數與累加旅次量	1
圖2. Android系統架構	9
圖3. Gartner網站統計行動裝置使用率	10
圖4. QR Code圖示說明	11
圖5. 使用QR Code的目的	12
圖6. 智慧腳踏車車隊與景點導覽系統架構圖	15
圖7. Google地圖服務模組架構圖	16
圖8. 智慧車隊模組架構圖	17
圖9. 景點介紹模組架構圖	18
圖10. Beacon訊號判斷流程圖	19
圖11. 智慧車隊組隊概念圖	21
圖12. 景點介紹概念圖	22
圖13. 系統功能列表	23
圖14. 車隊功能表	24
圖15. 個人設定畫面	24
圖16. QR Code加入隊伍畫面	25
圖17. 隊伍成員列表畫面	25 
圖18. 讀取條碼所需時間	26
圖19. 資料庫新增隊員所需時間	26
圖20. 車隊對講機畫面	27
圖21. 隊員位置畫面	27
圖22. 對講機延遲時間	28
圖23. 淡江大學景點位置示意圖	29
圖24. 景點導覽主畫面	29
圖25. 景點功能畫面	29
圖26. 景點介紹畫面	30
圖27. 路徑導引畫面	30
圖28. 景點資料接收時間示意圖	31
圖29. 淡江大學iBeacon位置示意圖	31
圖30. iBeacon運作示意圖	32
圖31. 平均反應時間折線圖	32
圖32. 景點展示牌示意圖	33
圖33. 景點展示牌功能概念圖	33
圖34. 耗電量折線圖	34


表目錄
表1. 各項功能比較表	7

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[2]	Nicolas Bonzani, Edward Kang, Chen-Hsiang Yu, and Mira Yun, “Smart Guide: Mid-Scale NFC Navigation System,” IEEE MIT Undergraduate Research Technology Conference, Cambridge, Nov. 2015.
[3]	Lien-Wu Chen, Yu-Hao Peng, and Yu-Chee Tseng, “An Augmented Reality Based Group Communication System for Bikers Using Smart Phones,” IEEE International Conference on Pervasive Computing and Communications Workshops, Seattle, March. 2011.
[4]	Yin Ye, Zhou Jun, and Yin Jian, “Design of World Expo Tour Sites Guide System Based on RFID Technology,” International Conference on Audio Language and Image Processing, Shanghai, Nov. 2010.
[5]	Wen-Thong Chang, “Proactive Guiding with iBeacon in Art Museum,” Pacific Neighborhood Consortium Annual Conference and Joint Meetings, Tainan, Nov. 2017.
[6]	Ramsha Fatima, Iffat Zarrin, Mohammed A. Qadeer, and M. Sarosh Umar, “Mobile Travel Guide using Image Recognition and GPS/Geo Tagging,” Thirteenth International Conference on Wireless and Optical Communications Networks, Hyderabad, July. 2016.
[7]	Wikipedia, “Android”,
https://en.wikipedia.org/wiki/Android
[8]	Wikipedia, “QR Code”,
https://en.wikipedia.org/wiki/QR_code
[9]	Wikipedia, “Bluetooth”,
https://en.wikipedia.org/wiki/Bluetooth
[10]	Wikipedia, “Near field communication,
https://en.wikipedia.org/wiki/Near_field_communication