Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Highway traffic state estimation using speed measurements: Case studies on NGSIM data and motorway A20 in the Netherlands

Roncoli Claudio, Bekiaris-Liberis Nikolaos, Papageorgiou Markos

Simple record


URIhttp://purl.tuc.gr/dl/dias/3818CA86-E862-497A-A24D-3C66BCB8A7DA-
Languageen-
Extent21 pagesen
TitleHighway traffic state estimation using speed measurements: Case studies on NGSIM data and motorway A20 in the Netherlandsen
CreatorRoncoli Claudioen
CreatorRoncoli Claudioel
CreatorBekiaris-Liberis Nikolaosen
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
PublisherTransportation Research Boarden
DescriptionThe 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
Content SummaryThis paper presents two case studies where a macroscopic model-based approach for traffic state estimation, which we have recently developed, is employed and tested. The estimation methodology is developed for a “mixed” traffic scenario, where traffic is composed of both ordinary and connected vehicles. Only average speed measurements, which may be obtained from connected vehicles reports, and a minimum number (sufficient to guarantee observability) of spot sensor-based total flow measurements are utilised. In the first case study, we use NGSIM microscopic data in order to test the capability of estimating the traffic state 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 utilised, in order 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 methodology, both in qualitative and quantitative terms.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2016-04-21-
Date of Publication2016-
Subjecttraffic state estimationen
Subjectconnected vehiclesen
SubjectKalman filteren
Subjectreal-data testingen
Bibliographic CitationC. Roncoli, N. Bekiaris-Liberis, M. Papageorgiou, "Highway traffic state estimation using speed measurements: Case studies on NGSIM data and motorway A20 in the Netherlands," in Proceedings of the 95th Annual Meeting of the Transportation Research Board (TRB), Washington D.C., USA, 10-14 January 2016, pp. 16-2071.en

Available Files

Services

Statistics