An Intelligent Traffic Assistant Agent System with Location-based Service and Linked Open Data Technology

• Main Authors: Wu, Yu-Wei, 吳堉煒
• Other Authors: Yang, Sheng-Yuan
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/fm3x4n

碩士 === 聖約翰科技大學 === 資訊與通訊系碩士班 === 107 === The thesis focuses on integrating the open data of the New Taipei City Government and global positioning system technology to build an intelligent traffic assistant agent system with location-based service (LBS) and linked open data (LOD) technology. The proposed system mainly stores data into the database one by one and analyzes those data through the government's open materials for providing more convenient instant traffic information to users and government related units. Taking the traffic information of the New Taipei City Government as an example, the system can not only display the optimal size through smart handheld devices (including IOS and Android systems) and computer devices, but also integrate database analysis to instantly view traffic information. Users don’t need to download and install the app and just open the browser and directly keyin the URL to enter the system to implement the system cross-platform services, and save a lot of system development costs. The system also provides a user return function. When the vehicle sensor is not installed in some road sections, but the vehicle is blocked in the road section, the user can report the latest road condition information through the user's timely return. After comparing and analyzing the system with some related applications, although the functions are similar, the proposed system has more practicality, information accessibility and excellent user experience.