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Computational framework for the estimation of dynamic OD trip matrices

Author
Barcelo, J.; Lídia Montero
Type of activity
Report
Date
2015-05-19
Project funding
APLICACIONES DEL DISEÑO DE REDES DE TRANSPORTE
Repository
http://hdl.handle.net/2117/80834 Open in new window
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 stati...
Citation
Barcelo, J., Lídia Montero. "Computational framework for the estimation of dynamic OD trip matrices". 2015.
Keywords
Bi-level Optimization, Dynamic OD Matrices, ICT data, Kalman filtering, Matrix Estimation
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants