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Research on Map Matching Based on Hidden Markov Model

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Advanced Data Mining and Applications (ADMA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8346))

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Abstract

Map matching is the procedure for determining the sequence of road links a vehicle has traveled on using the GPS data collected by sensors. Low sampling frequency and high offset noises are the main problems that the map matching algorithm needs to solve. In this study, the authors proposed a map matching algorithm based on the Hidden Markov Model (HMM). Naively matching the GPS sampling points with noise to the nearest road will result in some unreasonable map matching results, while this algorithm takes into account the location information suggested by GPS point and the road link transition probability. Also no more traffic information is needed in the procedure, which has a high accuracy and generalization ability. The algorithm was test with the real-word GPS data on a complex road network. The performance of the algorithm was found to be sufficiently accurate and efficient for the actual projects.

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Author information

Authors and Affiliations

  1. School of Mechatronical Engineering, China University of Mining and Technology, Beijing, 100081, China

    Jinhui Nie & Hongqi Su

  2. School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

    Xiaohua Zhou

Authors
  1. Jinhui Nie
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  2. Hongqi Su
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  3. Xiaohua Zhou
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Editor information

Editors and Affiliations

  1. US Air Force Office of Scientific Research, 106-0032, Tokyo, Japan

    Hiroshi Motoda

  2. School of Computer Science and Technology, Zhejiang University, 310027, Hangzhou, China

    Zhaohui Wu

  3. Faculty of Engineering and Information Technology, University of Technology, Chippendale, 2008, Sydney, NSW, Australia

    Longbing Cao

  4. Department of Computing Science, University of Alberta, T6G 2E8, Edmonton, Canada

    Osmar Zaiane

  5. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

    Min Yao

  6. School of Computer Science, Fudan University, 200433, Shanghai, China

    Wei Wang

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© 2013 Springer-Verlag Berlin Heidelberg

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Nie, J., Su, H., Zhou, X. (2013). Research on Map Matching Based on Hidden Markov Model. In: Motoda, H., Wu, Z., Cao, L., Zaiane, O., Yao, M., Wang, W. (eds) Advanced Data Mining and Applications. ADMA 2013. Lecture Notes in Computer Science(), vol 8346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53914-5_24

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  • DOI: https://doi.org/10.1007/978-3-642-53914-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53913-8

  • Online ISBN: 978-3-642-53914-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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