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Structural observability of multi-lane traffic with connected vehicles

Bekiaris-Liberis Nikolaos, Roncoli Claudio, Papageorgiou Markos

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URIhttp://purl.tuc.gr/dl/dias/7FC0EA41-C301-4EFD-8ED2-0A4310FE4647-
Identifierhttps://doi.org/10.1109/ITSC.2017.8317634-
Identifierhttps://ieeexplore.ieee.org/abstract/document/8317634/-
Languageen-
Extent8 pagesen
TitleStructural observability of multi-lane traffic with connected 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 establish sufficient and necessary conditions for the (weak) structural observability as well as the strong structural observability of lane-based highway traffic. Based on these results, we characterize the fixed detector configurations that guarantee the proper operation of a proposed traffic state estimation scheme. The structural observability analyses are based on a data-driven model, which is introduced for the per-lane traffic density dynamics. The proposed model is derived from the well-known conservation law equation via utilization of position and speed information from connected vehicle reports.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2018-04-16-
Date of Publication2017-
SubjectObservabilityen
SubjectRoad transportationen
SubjectVehicle dynamicsen
SubjectEstimationen
Bibliographic CitationN. Bekiaris-Liberis, C. Roncoli and M. Papageorgiou, "Structural observability of multi-lane traffic with connected vehicles," in IEEE 20th International Conference on Intelligent Transportation Systems, 2017, pp. 185-192. doi: 10.1109/ITSC.2017.8317634en

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