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Localization and Velocity Estimation on Bus with Cell-ID

  • Hung NguyenEmail author
  • Tho My Ho
  • Tien Ba Dinh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 244)

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.

Keywords

Mobile Terminal Velocity Estimation Main Cell Longe Common Subsequence Train Sequence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Advanced Program in Computer Science, Faculty of Information TechnologyVNU – University of ScienceHo Chi Minh CityVietnam

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