Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Use of speed measurements for highway traffic state estimation: case studies on NGSIM data and highway A20

Roncoli Claudio, Bekiaris-Liberis Nikolaos, Papageorgiou Markos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/AFD0ACF3-A295-40B3-B963-9928C1A6D945-
Αναγνωριστικόhttps://doi.org/10.3141/2559-11-
Γλώσσαen-
Μέγεθος21 pagesen
ΤίτλοςUse of speed measurements for highway traffic state estimation: case studies on NGSIM data and highway A20en
ΔημιουργόςRoncoli Claudioen
ΔημιουργόςRoncoli Claudioel
ΔημιουργόςBekiaris-Liberis Nikolaosen
ΔημιουργόςΜπεκιαρης-Λυμπερης Νικολαοςel
ΔημιουργόςPapageorgiou Markosen
ΔημιουργόςΠαπαγεωργιου Μαρκοςel
ΕκδότηςTransportation Research Boarden
ΠεριγραφήThe research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 321132, project TRAMAN21.en
ΠερίληψηThis paper presents two case studies in which a macroscopic model-based approach for the estimation of traffic conditions, which the authors have recently developed, is employed and tested. The estimation method is developed for a mixed traffic scenario, in which traffic is composed of both ordinary and connected vehicles. Only average speed measurements, which may be obtained from connected vehicle reports, and a minimal number (sufficient to guarantee observability) of spot sensor–based total flow measurements are utilized. In the first case study, NGSIM microscopic data are used to test the capability of estimating traffic conditions on the basis of aggregated information retrieved from moving vehicles and considering various penetration rates of connected vehicles. In the second case study, a longer highway stretch with internal congestion is utilized to test the capability of the proposed estimation scheme to produce appropriate estimates for varying traffic conditions on long stretches. In both cases, the performances are satisfactory and the obtained results demonstrate the effectiveness of the method in both qualitative and quantitative terms.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Ημερομηνία2017-11-13-
Ημερομηνία Δημοσίευσης2016-
Θεματική ΚατηγορίαHighway traffic state estimationen
Βιβλιογραφική ΑναφοράC. Roncoli, N. Bekiaris-Liberis and M. Papageorgiou, "Use of speed measurements for highway traffic state estimation: case studies on NGSIM data and highway A20, Netherlands," Transportation Research Record, vol. 2559, pp. 90-100, 2016. doi: 10.3141/2559-11en

Διαθέσιμα αρχεία

Υπηρεσίες

Στατιστικά