dc.contributor |
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.contributor |
Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació |
dc.contributor.author |
Barceló Bugeda, Jaime |
dc.contributor.author |
Montero Mercadé, Lídia |
dc.date |
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.language.iso |
eng |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
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 |
Dynamic OD Matrices |
dc.subject |
Matrix Estimation |
dc.subject |
Bi-level Optimization |
dc.subject |
Kalman filtering |
dc.subject |
ICT data |
dc.title |
Computational framework for the estimation of dynamic OD trip matrices |
dc.type |
info:eu-repo/semantics/draft |
dc.type |
info:eu-repo/semantics/report |
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. 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. |