| Summary: | 碩士 === 國立臺灣大學 === 土木工程學研究所 === 99 === Today, the mainstream of technology is the inter-disciplinary integration science which is human-centered technologies (HT), instead of forcing people to adapt the technologies, it emphasizes to provide caring and customized services to the people.
With the rapid development of communication technology, the traffic information data can be easily transmitted to people by technology integration, this research is to build a platform for mobile location and tracking based services to expand the content of ITS information and realize information’s accessibility. A platform has many advantages, it is not only to build the bridge to communicate between user and the traffic control center but also be used as emergency evacuation pipe, and establish a human-centered and efficient environment in traffic.
Near Field Informatics (N-Fi) is one of the Vehicular Ad Hoc Networks (VANET) technology. The research uses N-Fi system to build a test environment and verify the mobile location and tracking platform. The research use RSSI method with Location Algorithm and α- β-γ Filter to develop the related algorithms, in order to locate and track the moving node in the range of experiment.
The results show that, the location model for the users has excellent predictive ability in location and the predict model for the users also has excellent predictive ability in tracking. In sum, the model can be effective locate and track the mobile behavior for users.
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