Design and Implement the Prototype of APP Based OBD-II Vehicle Tracking System

• Main Authors: Liu, Ching-Chuan, 劉景荃
• Other Authors: Chen, Yen-Jen
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/00725704398655877992

碩士 === 明志科技大學 === 電子工程系碩士班 === 105 === Researches show that the current fleet management market enjoys a constant increase in its annual global output value and boasts high market potentials. The fleet management service in Taiwan identifies the driver behavior pattern, restricts improper operation and avoids trouble-making actions or deviant behavior to save operation costs through integrated location information, vehicle diagnostics and driving records. The present fleet management system architecture mostly depends on hardware driving recorders to obtain relevant data. However, the hardware system is not easy to customize, expand or adjust due to its fixed data categories and system functions. In addition, this age of intelligent on-board services witnesses the vigorous development of the technology for intelligent human-vehicle interaction. Therefore, it has become an inevitable trend to develop the functions of traditional vehicle tracking systems for smart phones. By integrating OBD-II and smart phones, this paper proposes developing a software vehicle tracking system with an algorithm to detect 16 vehicle-environment interactive behaviors based on Android, an open source software stack. This system aims to collect various information about vehicles and mobile phone sensors, identify interactive behavior, provide the back-end vehicle management system for monitoring and analysis, improve traditional fleet management in terms of customization, expansion and real-time performance, and facilitate fast-speed establishment and customization of the driving management system.