Reference
K. Staňková and B. De Schutter, "On freeway traffic density
estimation for a jump Markov linear model based on Daganzo's cell transmission
model,"
Proceedings of the 13th International IEEE Conference
on Intelligent Transportation Systems (ITSC 2010), Madeira Island,
Portugal, pp. 13-18, Sept. 2010.
Abstract
This paper deals with problem of the real-time freeway traffic density
estimation/prediction for a jump Markov linear model based on Daganzo's cell
transmission variant of the Lighthill-Whitham-Richards continuous macroscopic
freeway model. To solve the problem we propose a particle-filtering-based
estimation/prediction method. Its performance is illustrated on case studies
involving a four-cell freeway segment. The case studies suggest that the
proposed methodology can be used for real-time traffic density
estimation/prediction. Possible pitfalls of our approach are also discussed.
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BibTeX
@inproceedings{StaDeS:10-045,
author = {Sta{\v{n}}kov{\'{a}}, Kate{\v{r}}ina and De Schutter, Bart},
title = {On Freeway Traffic Density Estimation for a Jump {Markov}
Linear Model Based on {Daganzo}'s Cell Transmission Model},
booktitle = {Proceedings of the 13th International IEEE Conference on
Intelligent Transportation Systems (ITSC 2010)},
address = {Madeira Island, Portugal},
pages = {13--18},
month = sep,
year = {2010}
}