臺灣博碩士論文加值系統

智慧型手機與網路的發達讓人們生活的越來越便利，使用者藉由手機上的APP（應用程式)能夠獲取許多資訊。目前市面上的停車導航系統多為單向式，且以停車場之停車位為主，使用者僅能從APP（應用程式)獲取所在位置附近之停車資訊，而無法回報。本研究結合主從式架構、模糊理論、適地性服務之概念，以App Inventor為開發工具，建立一協同停車位導引系統，讓使用者不僅能找到附近的停車位資訊，也能迅速回報附近是否有停車位。如此系統可將整合後之資料，提供給附近的其他使用者，以達到協同合作之目標。

With the population of smart phones and the Internet, people can get lots of information through apps. Up to present, most parking guidance systems are unidirectional. Users can only get parking information around their current locations, but can’t be feed back. In this study, we combine the concepts of client-server architecture, fuzzy modeling and location based service using App Inventor to create a collaborative parking recommendation system. With this system, user can not only find out nearby parking lots, but also can report whether there are still some parking lots.

誌　　謝 I
摘　　要 III
ABSTRACT IV
目　　錄 V
圖目錄 VII
表目錄 IX
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 5
1.4 研究架構 5
第二章 文獻探討 7
2.1 無所不在的運算 7
2.2 主從式架構 7
2.3 適地性服務 8
2.4 全球衛星定位系統 9
2.5 國內外查詢停車位之APP比較 10
第三章 研究方法 17
3.1 情境分析 17
3.2 問題描述 21
3.3 定義服務範圍 21
3.4 判斷經緯度 23
3.5 範例 23
第四章 實驗與分析 27
4.1 基礎實驗情境 27
4.2 APP 27
4.3 研究假設及限制 29
4.4 實驗數據 29
4.5 實驗結果 41
4.6 方法比較 43
4.7 實驗結果分析 50
第五章 結論與未來研究方向 52
5.1 結論 52
5.2 未來研究方向 52
參考文獻 53

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