Title
A Kalman Filter for Quasi-Dynamic o-d Flow Estimation/Updating.
Abstract
This paper proposes an extended Kalman filter for quasi-dynamic estimation/updating of o-d flows from traffic counts. The quasi-dynamic assumption-that is considering constant o-d shares across a reference period, whilst total flows leaving each origin may vary for each sub-period within the reference period-has been proven already realistic and effective in off-line o-d flows estimation using gen...
Year
DOI
Venue
2018
10.1109/TITS.2018.2865610
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
Kalman filters,Estimation,Mathematical model,Intelligent transportation systems,Real-time systems,Europe,Stochastic processes
Applied mathematics,Extended Kalman filter,Matrix (mathematics),Simulation,Stochastic process,Generalized least squares,Kalman filter,State variable,Engineering,Linearization,Estimator
Journal
Volume
Issue
ISSN
19
11
1524-9050
Citations 
PageRank 
References 
1
0.37
0
Authors
4
Name
Order
Citations
PageRank
Vittorio Marzano162.66
Andrea Papola2133.45
fulvio simonelli361.89
Markos Papageorgiou4653165.20