Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Validation of a per-lane traffic state estimation scheme for highways with connected vehicles

Papadopoulou Sofia, Roncoli Claudio, Bekiaris-Liberis Nikolaos, Papamichail Ioannis, Papageorgiou Markos

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/5AFA075C-A4C4-4565-B7BE-1718C2FBB20C
Έτος 2017
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
Λεπτομέρειες
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

Περίληψη

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.

Διαθέσιμα αρχεία

Υπηρεσίες

Στατιστικά