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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

Autor
Barcelo, J.; Lídia Montero; Bullejos, M.A.; Linares, M. P.; Serch, O.
Tipus d'activitat
Article en revista
Revista
Transportation research record
Data de publicació
2013-11
Volum
2344
Número
04
Pàgina inicial
31
Pàgina final
39
DOI
10.3141/2344-04
Projecte finançador
1) TRA2011-27791-C03-02 ROBUSTEZ, RECUPERABILIDAD Y CONGESTIÓN EN REDES DE TRANSPORTE PUBLICO
COST Action TU0903
Repositori
http://hdl.handle.net/2117/22278 Obrir en finestra nova
URL
http://dx.doi.org/10.3141/2344-04 Obrir en finestra nova
Resum
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 ...
Citació
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.
Grup de recerca
IMP - Information Modeling and Processing
PROMALS - Grup de Recerca en Programació Matemática, Logística i Simulació

Participants