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

Search

Browse

My Space

Highway traffic state estimation with mixed connected and conventional vehicles

Bekiaris-Liberis Nikolaos, Roncoli Claudio, Papageorgiou Markos

Simple record


URIhttp://purl.tuc.gr/dl/dias/A0BAE5AA-0729-456C-A46E-84E37D2E9850-
Identifierhttps://doi.org/10.1109/TITS.2016.2552639-
Languageen-
Extent15 pagesel
TitleHighway traffic state estimation with mixed connected and conventional vehiclesen
CreatorBekiaris-Liberis Nikolaosen
CreatorΜπεκιαρης-Λυμπερης Νικολαοςel
CreatorRoncoli Claudioen
CreatorRoncoli Claudioel
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
PublisherInstitute of Electrical and Electronics Engineersen
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 SummaryWe present a macroscopic model-based approach for the estimation of the total density and flow of vehicles, for the case of “mixed” traffic, i.e., traffic comprising both ordinary and connected vehicles, utilizing only average speed measurements reported by connected vehicles and a minimum number (sufficient to guarantee observability) of spot-sensor-based total flow measurements. The approach is based on the realistic and validated assumption that the average speed of conventional vehicles is roughly equal to the average speed of connected vehicles, and consequently, it can be obtained at the (local or central) traffic monitoring and control unit from connected vehicles’ reports. Thus, complete traffic state estimation (for arbitrarily selected segments in the network) may be achieved by estimating the total density of vehicles. Recasting the dynamics of the total density of vehicles, which are described by the well-known conservation law equation, as a linear parameter-varying system, we employ a Kalman filter for the estimation of the total density.We demonstrate the fact that the developed approach allows for a variety of different measurement configurations. We also present an alternative estimation methodology in which traffic state estimation is achieved by estimating the percentage of connected vehicles with respect to the total number of vehicles. The alternative development relies on the alternative requirement that the density and flow of connected vehicles are known to the traffic monitoring and control unit on the basis of their regularly reported positions. We validate the performance of the developed estimation schemes through simulations using a well-known second-order traffic flow model as ground truth for the traffic state.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2017-11-13-
Date of Publication2016-
SubjectConnected vehiclesen
SubjectTraffic estimationen
Bibliographic CitationN. Bekiaris-Liberis, C. Roncoli and M. Papageorgiou, "Highway traffic state estimation with mixed connected and conventional vehicles," IEEE Trans. on Intell. Transp. Syst., 2016, vol. 17, no. 12, pp. 3484-3497. doi: 10.1109/TITS.2016.2552639en

Available Files

Services

Statistics