Robustness and computational efficiency of Kalman filter estimator of time-dependent origin–destination matrices: Exploiting traffic measurements from information …

J Barceló, L Montero, MP Linares… - Transportation research …, 2013 - journals.sagepub.com
Origin–destination (OD) 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 …

[引用][C] Robustness and Computational Efficiency of Kalman Filter Estimator of Time-Dependent Origin-Destination Matrices: Exploiting Traffic Measurements from …

J BARCELO, L MONTERO… - Transportation …, 2013 - pascal-francis.inist.fr
Robustness and Computational Efficiency of Kalman Filter Estimator of Time-Dependent
Origin-Destination Matrices: Exploiting Traffic Measurements from Information and …

[PDF][PDF] ROBUSTNESS AND COMPUTATIONAL EFFICENCY OF A KALMAN FILTER ESTIMATOR OF TIME DEPENDENT OD MATRICES EXPLOITING ICT TRAFFIC …

J Barceló, L Montero, M Bullejos, MP Linares, O Serch - 2012 - researchgate.net
Origin-Destination (OD) trip matrices, which describe the patterns of traffic behavior across
the network, are the primary data input used in principal traffic models and therefore, a …

Robustness and Computational Efficiency of Kalman Filter Estimator of Time-Dependent Origin–Destination Matrices: Exploiting Traffic Measurements from …

J Barceló, L Montero, M Bullejos, MP Linares, O Serch - 2013 - trid.trb.org
Origin–destination (OD) 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 …

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

J Barceló Bugeda, L Montero Mercadé… - … 2013, Volume 2, 2013 - upcommons.upc.edu
Origin–destination (OD) 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 …