碩士 / 國立勤益科技大學 / 流通管理系 / 102 / With the advancement of traffic control technology and the popularity of vehicles, the parking spaces cannot meet the requirement for vehicles. Not only users often spent much time to find a parking place, but also had users a difficult time to find their cars while entering and leaving the huge parking building. Terefore, it is necessary to build and develop an advanced parking assistance system to help car users find the location of their cars in the parking lot. Nowadays, there are many mobile applications and new technology to help parking car users find their cars in a parking garage. Among the techniques, the most generally operateing technique was Wi-fi, barcode or RFID tag scaning, but the contractor could not afford the huge budget to establish the parking navigation system, and the software was not easy to operate with very low rates of success. Consequently, the scanning technique failed because of insufficient budget for the parking garage administrators. In contrast, this study used Near Field Communication (NFC) technique and based on Technology Acceptance Model (TAM) and an in-depth interview to analyze demand analysis of parking car users and to evaluate this NFC parking system for improving defects in a parking garage. Through the NFC technique to establish a parking garage assist system, the App developed in this study can record the locations and entering time of the car in a parking garage and can assist car users to find the location of their vehicles. Users can easily and quickly execute the parking garage assistantce system by the mobile device with NFC capability or the NFC Tag magnetic induction. Users and contractor are exempted from the huge budget of establish and the complicated operate procedure to achieve saving users' time and increasing security of parking garage. So further increasng the willingness of NFC parking users were expected.
Identifer | oai:union.ndltd.org:TW/102NCIT5691014 |
Date | January 2014 |
Creators | Pin-Yueh Tseng, 曾品越 |
Contributors | Shung-Kung Wu, 吳世光 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | zh-TW |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 70 |
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