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Highway traffic state estimation with mixed connected and conventional vehicles: microsimulation testing

Fountoulakis Markos

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URIhttp://purl.tuc.gr/dl/dias/F32D09F6-3042-4F40-A8D9-E2643A9DCE99-
Identifierhttps://doi.org/10.26233/heallink.tuc.66079-
Languageen-
Extent6,2 megabytesen
TitleΕκτίμηση κατάστασης κυκλοφορίας σε αυτοκινητόδρομο με συνδεδεμένα και συμβατικά οχήματα: μικροσκοπική προσομοίωσηel
TitleHighway traffic state estimation with mixed connected and conventional vehicles: microsimulation testingen
CreatorFountoulakis Markosen
CreatorΦουντουλακης Μαρκοςel
Contributor [Thesis Supervisor]Papageorgiou Markosen
Contributor [Thesis Supervisor]Παπαγεωργιου Μαρκοςel
Contributor [Committee Member]Papamichail Ioannisen
Contributor [Committee Member]Παπαμιχαηλ Ιωαννηςel
Contributor [Committee Member]Nikolos Ioannisen
Contributor [Committee Member]Νικολος Ιωαννηςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Production Engineering and Managementen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Μηχανικών Παραγωγής και Διοίκησηςel
Content SummaryThis thesis presents a thorough microscopic simulation investigation of a recently proposed methodology for highway traffic estimation with mixed traffic, i.e., traffic comprising both connected and conventional vehicles, which employs only speed measurements stemming from connected vehicles and a limited number (sufficient to guarantee observability) of flow measurements from spot sensors. The estimation scheme is tested using the commercial traffic simulator Aimsun under various penetration rates of connected vehicles, employing a traffic scenario that features congested as well as free-flow conditions. The case of mixed traffic comprising conventional and connected vehicles equipped with adaptive cruise control, which feature a systematically different car-following behavior than regular vehicles, is also considered. In both cases, it is demonstrated that the estimation results are satisfactory, even for low penetration rates.en
Type of ItemΜεταπτυχιακή Διατριβήel
Type of ItemMaster Thesisen
Licensehttp://creativecommons.org/licenses/by-nc/4.0/en
Date of Item2016-07-20-
Date of Publication2016-
SubjectTraffic estimationen
SubjectConnected vehiclesen
SubjectMicroscopic simulationen
Bibliographic CitationMarkos Fountoulakis, "Highway traffic state estimation with mixed connected and conventional vehicles: microsimulation testing", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2016en
Bibliographic CitationΜάρκος Φουντουλάκης, "Εκτίμηση κατάστασης κυκλοφορίας σε αυτοκινητόδρομο με συνδεδεμένα και συμβατικά οχήματα: μικροσκοπική προσομοίωση", Μεταπτυχιακή Διατριβή, Σχολή Μηχανικών Παραγωγής και Διοίκησης, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2016el

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