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Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/5AFA075C-A4C4-4565-B7BE-1718C2FBB20C | ||
| Έτος | 2017 | ||
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | S. Papadopoulou, C. Roncoli, N. Bekiaris-Liberis, I. Papamichail and M. Papageorgiou, "Validation of a per-lane traffic state estimation scheme for highways with connected vehicles," in IEEE 20th International Conference on Intelligent Transportation Systems, 2017, pp. 1053-1059. doi: 10.1109/ITSC.2017.8317704 https://doi.org/10.1109/ITSC.2017.8317704 | ||
| Εμφανίζεται στις Συλλογές |
This study presents a thorough microscopic simulation investigation of a recently developed model-based approach for per-lane density estimation, as well as on-ramp and off-ramp flow estimation, for highways in the presence of connected vehicles. The estimation methodology is mainly based on the assumption that a certain percentage of vehicles is equipped with Vehicle Automation and Communication Systems (VACS), which provide the necessary measurements used by the estimator, namely vehicle speed and position measurements. In addition, a minimum number of conventional flow detectors is needed. In the investigation, a calibrated and validated, with real data, microscopic multi-lane model is employed, which concerns a stretch of motorway A20 from Rotterdam to Gouda in the Netherlands. It is demonstrated that the proposed methodology provides satisfactory estimation performance even for low penetration rates of connected vehicles.
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