Reference
A. Hegyi, D. Girimonte, R. Babuška, and B. De Schutter, "A comparison of
filter configurations for freeway traffic state estimation,"
Proceedings of the 2006 IEEE Intelligent Transportation Systems
Conference (ITSC 2006), Toronto, Canada, pp. 1029-1034, Sept. 2006.
Abstract
We present a comparison for several filter configurations for freeway traffic
state estimation. Since the environmental conditions on a freeway may change
over time (e.g., changing weather conditions), parameter estimation is also
considered. We compare the performance of the extended Kalman filter and the
unscented Kalman filter for state estimation, parameter estimation, joint
estimation and dual estimation. Furthermore, the performance is evaluated for
different detector configurations.
The main conclusions from the simulations are that (1) the performance of the
extended Kalman filter and the unscented Kalman filter is comparable, (2) joint
filtering performs significantly better than dual filtering, and (3) a larger
number of detectors results in better state estimation, but has no significant
influence on the parameter estimation error.
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BibTeX
@inproceedings{HegGir:06-022,
author = {Hegyi, Andreas and Girimonte, Daniela and Babu{\v{s}}ka, Robert
and De Schutter, Bart},
title = {A Comparison of Filter Configurations for Freeway Traffic State
Estimation},
booktitle = {Proceedings of the 2006 IEEE Intelligent Transportation Systems
Conference (ITSC 2006)},
address = {Toronto, Canada},
pages = {1029--1034},
month = sep,
year = {2006}
}