Reference
M. Rinaldi, L. Capisani, A. Ferrara, A. Núñez, M. Hajiahmadi, and
B. De Schutter, "Distributed identification of the cell transmission traffic
model: A case study,"
Proceedings of the 2012 American Control
Conference, Montréal, Canada, pp. 6545-6550, June 2012.
Abstract
The problem of the distributed identification of a macroscopic first-order
traffic model, viz. the Cell Transmission Model (CTM), is considered in the
paper. The parameters to be identified characterize the dynamics of the density
in different sections of the freeway (cells). We explore different distributed
identification schemes. The purposes of the approach are mainly to obtain good
prediction models through the minimization of the one-step ahead prediction
error of the densities of the cells, and to reduce the computational time and
the effort required to perform the identification. The methodology is validated
relying on real-life data measured on a portion of the A12 freeway in The
Netherlands. An evaluation of the performance of the identified model used as a
set of virtual sensors in different scenarios is presented.
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BibTeX
@inproceedings{RinCap:12-016,
author = {Rinaldi, Marco and Capisani, Luca and Ferrara, Antonella and
N{\'{u}}{\~{n}}ez, Alfredo and Hajiahmadi, Mohammad and De
Schutter, Bart},
title = {Distributed Identification of the Cell Transmission Traffic
Model: {A} Case Study},
booktitle = {Proceedings of the 2012 American Control Conference},
address = {Montr\'eal, Canada},
pages = {6545--6550},
month = jun,
year = {2012}
}