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Computational framework for the estimation of dynamic OD trip matrices
dc.contributor.author | Barceló Bugeda, Jaime |
dc.contributor.author | Montero Mercadé, Lídia |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.date.accessioned | 2015-12-16T18:15:58Z |
dc.date.available | 2015-12-16T18:15:58Z |
dc.date.issued | 2015-05-19 |
dc.identifier.citation | Barcelo, J., Lídia Montero. "Computational framework for the estimation of dynamic OD trip matrices". 2015. |
dc.identifier.uri | http://hdl.handle.net/2117/80834 |
dc.description | Origin-Destination (OD) trip matrices describe traffic behavior patterns across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, in traffic assignment models, static or dynamic. However, OD matrices are not yet directly observable; thus, the current practice consists of adjusting an initial a priori matrix from link flow counts, speeds, travel times and other aggregate demand data, supplied by a layout of traffic counting stations. The availability of new traffic measurements from ICT applications offers the possibility to formulate and develop more efficient algorithms, especially suited for real-time applications. This work proposes an integrated computational framework in which an off-line procedure generates the time-sliced OD matrices, which are the input to an on-line estimator, whose sensitivity with respect to the available traffic measurements is analyzed. |
dc.description.abstract | Origin-Destination (OD) trip matrices describe traffic behavior patterns across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, in traffic assignment models, static or dynamic. However, OD matrices are not yet directly observable; thus, the current practice consists of adjusting an initial a priori matrix from link flow counts, speeds, travel times and other aggregate demand data, supplied by a layout of traffic counting stations. The availability of new traffic measurements from ICT applications offers the possibility to formulate and develop more efficient algorithms, especially suited for real-time applications; whose efficiency depends, among other factors, on the quality of the seed matrix. This paper proposes an integrated computational framework in which an off-line procedure generates the time-sliced OD matrices, which are the input to an on-line estimator, whose sensitivity with respect to the available traffic measurements is analyzed. |
dc.format.extent | 21 p. |
dc.language.iso | eng |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització |
dc.subject.other | Dynamic OD Matrices |
dc.subject.other | Matrix Estimation |
dc.subject.other | Bi-level Optimization |
dc.subject.other | Kalman filtering |
dc.subject.other | ICT data |
dc.title | Computational framework for the estimation of dynamic OD trip matrices |
dc.type | External research report |
dc.contributor.group | Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació |
dc.rights.access | Open Access |
local.identifier.drac | 15644624 |
dc.description.version | Preprint |
local.citation.author | Barcelo, J.; Montero, Lídia |
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