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Evaluation of a model predictive control strategy on a calibrated multilane microscopic model

Perraki Georgia

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URIhttp://purl.tuc.gr/dl/dias/17AEB497-A1A2-43A9-A666-695E242B59A7-
Identifierhttps://doi.org/10.26233/heallink.tuc.66973-
Languageen-
Extent7,54 megabytesen
TitleEvaluation of a model predictive control strategy on a calibrated multilane microscopic modelen
TitleΑξιολόγηση μιας στρατηγικής προβλεπτικού ελέγχου σε επικυρωμένο μικροσκοπικό μοντέλο πολλαπλών λωρίδωνel
CreatorPerraki Georgiaen
CreatorΠερρακη Γεωργιαel
Contributor [Thesis Supervisor]Papamichail Ioannisen
Contributor [Thesis Supervisor]Παπαμιχαηλ Ιωαννηςel
Contributor [Committee Member]Papageorgiou Markosen
Contributor [Committee Member]Παπαγεωργιου Μαρκοςel
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 master thesis investigates the effectiveness of a Model Predictive Control (MPC) scheme applied on a calibrated and validated microscopic multilane model. Microscopic traffic models have become increasingly popular in order to solve design and analysis problems difficult to be studied by other means. Although the simulation models can be useful for engineers, they have to be firstly calibrated and validated in order to ensure that they can lead to meaningful results. A stretch of the freeway A20 which connects Rotterdam to Gouda in the Netherlands is modeled in a microscopic simulator. Speed and flow measurements, collected from the field, are used in order to tune the simulation parameters with the purpose of replicating realistic traffic conditions. Different datasets are used in order to verify that the model reproduces reality under different conditions. An MPC scheme is then applied in the calibrated model aiming at the mitigation of traffic congestion in the case study network. The control strategy is based on the assumption that the vehicles are equipped with Vehicle Automation and Communication Systems (VACS), which offer numerous advantages concerning the actuation possibilities and availability of information.en
Type of ItemΜεταπτυχιακή Διατριβήel
Type of ItemMaster Thesisen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2016-11-09-
Date of Publication2016-
SubjectMPCen
SubjectCalibration and validationen
SubjectMicroscopic simulationen
SubjectTraffic controlen
Bibliographic CitationGeorgia Perraki, "Evaluation of a model predictive control strategy on a calibrated multilane microscopic model", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2016en
Bibliographic CitationΓεωργία Περράκη, "Αξιολόγηση μιας στρατηγικής προβλεπτικού ελέγχου σε επικυρωμένο μικροσκοπικό μοντέλο πολλαπλών λωρίδων", Μεταπτυχιακή Διατριβή, Σχολή Μηχανικών Παραγωγής και Διοίκησης, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2016el

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