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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© 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)