Abstract
In this study, the authors estimate the position and the velocity of a mobile terminal using only Cell-ID as input data. Unlike finger prints methods, Cell-IDs are considered as sequences and matched using a modification of Longest Common Subsequece. The study covered 693 bus stops in Ho Chi Minh City and collected 73813 transition samples as training data. 86% of the test cases in velocity estimation has error within 5 km/h. This project uses bus stops as landmarks, but can be generalized using any set of annotated landmarks.
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© 2014 Springer International Publishing Switzerland
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Nguyen, H., Ho, T.M., Dinh, T.B. (2014). Localization and Velocity Estimation on Bus with Cell-ID. In: Huynh, V., Denoeux, T., Tran, D., Le, A., Pham, S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-02741-8_22
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DOI: https://doi.org/10.1007/978-3-319-02741-8_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02740-1
Online ISBN: 978-3-319-02741-8
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