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Calibration of a second-order traffic flow model using a metamodel-assisted Differential Evolution algorithm

Porfyri Kalliroi, Nikolos Ioannis, Delis Anargyros, Papageorgiou Markos

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URIhttp://purl.tuc.gr/dl/dias/8C2C03D4-229F-4F07-8AB0-A934525C4DA9-
Identifierhttps://doi.org/10.1109/ITSC.2016.7795581-
Languageen-
Extent6 pagesen
TitleCalibration of a second-order traffic flow model using a metamodel-assisted Differential Evolution algorithmen
CreatorPorfyri Kalliroien
CreatorΠορφυρη Καλλιρροηel
CreatorNikolos Ioannisen
CreatorΝικολος Ιωαννηςel
CreatorDelis Anargyrosen
CreatorΔελης Αναργυροςel
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 SummaryWith the increasingly widespread use of traffic flow simulation models, several questions concerning the reliability, efficiency and accuracy of such models need to be addressed convincingly. In general, the most time-efficient traffic flow models are based on the macroscopic approach to describe traffic dynamics. Macroscopic models reproduce the evolution of aggregated traffic characteristics over time and space with respect to observable variables, such as flow and speed, requiring much less computational time, compared to microscopic ones. This work assesses a second-order macroscopic gas-kinetic traffic flow (GKT) model and its numerical implementation using real traffic data from a motorway network in the U.K., where recurrent congestion originated from high on-ramp flows during the morning peak hours is observed. A parallel, metamodel-assisted Differential Evolution (DE) algorithm is employed for the calibration of the model parameters, and numerical simulations demonstrate that the DE algorithm can be a very promising method for the calibration of such traffic flow models.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2017-11-13-
Date of Publication2016-
SubjectRoad trafficen
SubjectEvolutionary computationen
SubjectNumerical analysisen
Bibliographic CitationK. N. Porfyri, I. K. Nikolos, A. I. Delis and M. Papageorgiou, "Calibration of a second-order traffic flow model using a metamodel-assisted Differential Evolution algorithm," in 2016 IEEE 19th International Conference on Intelligent Transportation Systems, November, pp. 366-371. doi: 10.1109/ITSC.2016.7795581en

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