To access the full text documents, please follow this link: http://hdl.handle.net/2117/80834

Title:	Computational framework for the estimation of dynamic OD trip matrices
Author:	Barceló Bugeda, Jaime; Montero Mercadé, Lídia
Other authors:	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa; Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
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.
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.
Subject(s):	-Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització -Dynamic OD Matrices -Matrix Estimation -Bi-level Optimization -Kalman filtering -ICT data
Rights:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Draft Report
Share:

Show full item record