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A robust framework for the estimation of dynamic OD trip matrices for reliable traffic management

Author
Barcelo, J.; Lídia Montero
Type of activity
Journal article
Journal
Transportation research procedia
Date of publication
2015
Volume
10
First page
134
Last page
144
DOI
https://doi.org/10.1016/j.trpro.2015.09.063 Open in new window
Project funding
Modelització i Processament de la Informació (MPI)
Robustness, recoverability and adaptability of public transport systems
Repository
http://hdl.handle.net/2117/82164 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S2352146515002501 Open in new window
Abstract
Origin-Destination (OD) trip matrices describe the patterns of traffic behavior across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, either in static or dynamic models for traffic assignment. However, OD matrices are not yet directly observable; thus, the current practice consists of adjusting an initial or a priori matrix from link flow counts, speeds, travel times and other aggregate demand data. This information is provid...
Citation
Barcelo, J., Lídia Montero. A robust framework for the estimation of dynamic OD trip matrices for reliable traffic management. "Transportation Research Procedia", 2015, vol. 10, p. 134-144.
Keywords
Dynamic OD Matrices, ICT data, Kalman filtering, Matrix Estimation
Group of research
IMP - Information Modelling and Processing
inLab FIB

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