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Exploring Spatio-Temporal Features for Traffic Estimation on Road Networks

  • Conference paper
Advances in Spatial and Temporal Databases (SSTD 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5644))

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Abstract

In this paper, given a query that indicates a query road segment and a query time, we intend to accurately estimate the traffic status (i.e., the driving speed) on the query road segment at the query time from traffic databases. Note that a traffic behavior in the same time usually reflects similar patterns (referring to the temporal feature), and nearby road segments have the similar traffic behaviors (referring to the spatial feature). By exploring the temporal and spatial features, more GPS data points are retrieved. In light of these GPS data retrieved, we exploit the weighted moving average approach to estimate traffic status on road networks. Experimental results show the effectiveness of our proposed algorithm.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC

    Ling-Yin Wei, Wen-Chih Peng, Chun-Shuo Lin & Chen-Hen Jung

Authors
  1. Ling-Yin Wei
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  2. Wen-Chih Peng
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  3. Chun-Shuo Lin
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  4. Chen-Hen Jung
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Hong Kong, Pokfulam Road, Hong Kong, China

    Nikos Mamoulis

  2. Data management and exploration group, Department of Computer Science, RWTH Aachen University, 52056, Aachen, Germany

    Thomas Seidl

  3. Department of Computer Science, Aalborg University, Selma Lagerlöfsvej 300, DK-9220, Aalborg Ø,, Denmark

    Torben Bach Pedersen  & Kristian Torp  & 

  4. Department of Computer Science, Aalborg University, Selma Lagerlöfsvej 300, DK-9220, Aalborg Ø, Denmark

    Ira Assent

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© 2009 Springer-Verlag Berlin Heidelberg

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Wei, LY., Peng, WC., Lin, CS., Jung, CH. (2009). Exploring Spatio-Temporal Features for Traffic Estimation on Road Networks. In: Mamoulis, N., Seidl, T., Pedersen, T.B., Torp, K., Assent, I. (eds) Advances in Spatial and Temporal Databases. SSTD 2009. Lecture Notes in Computer Science, vol 5644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02982-0_28

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  • DOI: https://doi.org/10.1007/978-3-642-02982-0_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02981-3

  • Online ISBN: 978-3-642-02982-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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