Abstract | ||
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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 |
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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 Marzano | 1 | 6 | 2.66 |
Andrea Papola | 2 | 13 | 3.45 |
fulvio simonelli | 3 | 6 | 1.89 |
Markos Papageorgiou | 4 | 653 | 165.20 |