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Robustness and computational efficiency of a Kalman Filter estimator of time-dependent origin-destination matrices: exploiting ICT traffic measurements from information and communications technologies

Author
Barcelo, J.; Lídia Montero; Bullejos, M.A.; Linares, M. P.; Serch, O.
Type of activity
Presentation of work at congresses
Name of edition
TRB 92nd Annual Meeting Final Program
Date of publication
2013
Presentation's date
2013-01
Book of congress proceedings
Travel Demand Forecasting 2013, Volume 2
First page
31
Last page
39
DOI
10.3141/2344-04
Project funding
COST Action TU0903
TRA2011-27791-C03-02
Repository
http://hdl.handle.net/2117/22278 Open in new window
URL
http://trid.trb.org/view/2013/C/1242276 Open in new window
Abstract
Origin–destination (O-D) trip matrices that describe the patterns of traffic behavior across a network are the primary data input used in principal traffic models and, therefore, a critical requirement in all advanced systems supported by dynamic traffic assignment models. However, because O-D matrices are not directly observable, the current practice consists of adjusting an initial or seed matrix from link flow counts that are provided by an existing layout of traffic-counting stations. The ...
Citation
Barcelo, J. [et al.]. Robustness and computational efficiency of a Kalman Filter estimator of time-dependent origin-destination matrices: exploiting ICT traffic measurements from information and communications technologiess. A: Transportation Research Board Annual Meeting. "Travel Demand Forecasting 2013, Volume 2". Washington: 2013, p. 31-39.
Keywords
Dynamic OD Estimation, Dynamic User Equilibrium (DUE), Kalman Filtering, Traffic Detectors Layout
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants