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Validation and Comparison of Microscopic Car-Following Models Using Beijing Traffic Flow Data

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3614))

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Abstract

In this oppaper, camera calibration and video tracking technology are used to get the vehicle location information so as to calibrate the Gazis-Herman-Rothery (GHR) model and fuzzy car-following model. The detail analyses about the models’ parameters and accuracy show that the fuzzy model is easy to understand and have better performance.

This paper is supported by National Science Foundation China, Under Grant 50322283.

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References

  1. Brackstone, M., McDonald, M.: Car-following: a historical review. Transportation Research Part F 2, 181–196 (1999)

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Author information

Authors and Affiliations

  1. School of Electronics and Information Engineering, Beijing Jiaotong University, 100044, Beijing, China

    Dewang Chen

  2. UK China Joint ITS Center, Southampton Univ., UK and Beijing Jiaotong Univ., China

    Dewang Chen & Jianping Wu

  3. School of Traffic and Transportation, Beijing Jiaotong Univ., 100044, Beijing, China

    Yueming Yuan, Baiheng Li & Jianping Wu

Authors
  1. Dewang Chen
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  2. Yueming Yuan
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  3. Baiheng Li
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  4. Jianping Wu
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Chen, D., Yuan, Y., Li, B., Wu, J. (2005). Validation and Comparison of Microscopic Car-Following Models Using Beijing Traffic Flow Data. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_128

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  • DOI: https://doi.org/10.1007/11540007_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28331-7

  • Online ISBN: 978-3-540-31828-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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