Reference : Distributed identification of the Cell Transmission traffic model: A case study
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/10993/33458
Distributed identification of the Cell Transmission traffic model: A case study
English
Rinaldi, Marco mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
Capisani, L. [Department of Computer Engineering and Systems Science, Universitá Degli Studi di Pavia, via Ferrata 1, 27100 Pavia, Italy]
Ferrara, A. [Department of Computer Engineering and Systems Science, Universitá Degli Studi di Pavia, via Ferrata 1, 27100 Pavia, Italy]
Nunez, A. [Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, Netherlands]
Hajiahmadi, M. [Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, Netherlands]
De Schutter, B. [Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, Netherlands]
2012
Procedings of the 2012 American Control Conference, ACC 2012
6545-6550
Yes
2012 American Control Conference, ACC 2012
27 June 2012 through 29 June 2012
Montreal, QC
[en] Cell transmission model ; Motorway control ; Distributed identification
[en] 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. © 2012 AACC American Automatic Control Council).
http://hdl.handle.net/10993/33458

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