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- Title
Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services.
- Authors
Sang-Jun Han; Sung-Bae Cho
- Abstract
In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. However, conventional location-based services are limited in terms of flexibility because they depend on the current location of the user. We propose a novel method of predicting the user's future movements in order to develop advanced location-based services. The user's movement trajectory is modelled using a combination of recurrent self-organising maps (RSOM) and the Markov model. Future movement is predicted based on past movement trajectories. A prototype application based on location prediction is also presented. This application is a mobile user assistant targeted to university students. To verify the proposed method, a GPS dataset was collected on the Yonsei University campus. The results were promising enough to confirm that the application works flexibly even in ambiguous situations.
- Subjects
TELECOMMUNICATION; MARKOV processes; WIRELESS communications; MOBILE communication systems; TRAJECTORY optimization; COMMUNICATION &; technology; INFORMATION resources management
- Publication
Journal of Information & Knowledge Management, 2006, Vol 5, Issue 4, p291
- ISSN
0219-6492
- Publication type
Article
- DOI
10.1142/S0219649206001554