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Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/D29409BD-0AB7-477A-9310-ACBCA2E94796 | ||
| Έτος | 2018 | ||
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | 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 https://doi.org/10.1109/TITS.2018.2865610 | ||
| Εμφανίζεται στις Συλλογές |
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.
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