Reference
Zs. Lendek, R. Babuška, and B. De Schutter, "Fuzzy models and observers
for freeway traffic state tracking,"
Proceedings of the 2010
American Control Conference, Baltimore, Maryland, pp. 2278-2283,
June-July 2010.
Abstract
Traffic state estimation is a prerequisite for traffic surveillance and
control. For macroscopic traffic flow models several estimation methods have
been investigated, including extended and unscented Kalman filters and particle
filters. In this paper we propose a fuzzy observer for the continuous time
version of the macroscopic traffic flow model METANET. In order to design the
observer, we first derive a dynamic Takagi-Sugeno fuzzy model that exactly
represents the traffic model of a segment of a highway stretch. The fuzzy
observer is designed based on the fuzzy model and applied to the traffic model.
The simulation results are promising for the future development of fuzzy
observers for a highway stretch or a whole traffic network.
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BibTeX
@inproceedings{LenBab:10-008,
author = {Lendek, {\relax Zs}{\'{o}}fia and Babu{\v{s}}ka, Robert and De
Schutter, Bart},
title = {Fuzzy Models and Observers for Freeway Traffic State Tracking},
booktitle = {Proceedings of the 2010 American Control Conference},
address = {Baltimore, Maryland},
pages = {2278--2283},
month = jun # {--} # jul,
year = {2010}
}