![Institutional Repository [SANDBOX]](images/dias.logo.png "Institutional Repository [SANDBOX]"){kind=logo}
Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/D29409BD-0AB7-477A-9310-ACBCA2E94796 | - |
| Identifier | https://doi.org/10.1109/TITS.2018.2865610 | - |
| Identifier | https://ieeexplore.ieee.org/document/8454761 | - |
| Language | en | - |
| Extent | 9 pages | en |
| Title | A Kalman filter for quasi-dynamic o-d flow estimation/updating | en |
| Creator | Marzano Vittorio | en |
| Creator | Papola Andrea | en |
| Creator | Simonelli Fulvio | en |
| Creator | Papageorgiou Markos | en |
| Creator | Παπαγεωργιου Μαρκος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | 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 generalized least squares estimators. The specification of the state variables and of the corresponding transition and measurement equations of a quasi-dynamic extended Kalman filter are illustrated, and a closed-form linearization is presented under the assumption of an uncongested network and error-free assignment matrix. Results show satisfactory performance and parsimonious computational burden on real-size networks. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2019-05-27 | - |
| Date of Publication | 2018 | - |
| Subject | Kalman filter | en |
| Subject | O-d estimation/updating | en |
| Subject | Quasi-dynamic estimation | en |
| Subject | Extended Kalman filters | en |
| Subject | Intelligent systems | en |
| Subject | Interactive computer systems | en |
| Bibliographic Citation | V. Marzano, A. Papola, F. Simonelli and M. Papageorgiou "A Kalman filter for quasi-dynamic o-d flow estimation/updating," IEEE Trans. Intell. Transp. Syst., vol. 19, no. 11, pp. 3604-3612, Nov. 2018. doi: 10.1109/TITS.2018.2865610 | el |
Copyright © DIAS 2013
