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An integrated Computational framework for the estimation of dynamic OD trip matrices

Author
Barcelo, J.; Lídia Montero
Type of activity
Presentation of work at congresses
Name of edition
2015 IEEE 18th International Conference on Intelligent Transportation Systems
Date of publication
2015
Presentation's date
2015-09
Book of congress proceedings
2015 IEEE 18th International Conference on Intelligent Transportation Systems
First page
612
Last page
619
DOI
https://doi.org/10.1109/ITSC.2015.106 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/2117/83507 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7313198 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. An integrated Computational framework for the estimation of dynamic OD trip matrices. A: IEEE International Conference on Intelligent Transportation Systems. "2015 IEEE 18th International Conference on Intelligent Transportation Systems". Las Palmas de Gran Canaria: 2015, p. 612-619.
Keywords
Dynamic OD Matrices, ICT data, Kalman filtering, Matrix Estimation
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants