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

Search

Browse

My Space

Motorway flow optimization in presence of vehicle automation and communication systems

Roncoli Claudio, Papamichail Ioannis, Papageorgiou Markos

Simple record


URIhttp://purl.tuc.gr/dl/dias/9BEA2A38-AFF2-49E1-B344-30E2C7BD34B5-
Languageen-
Extent11 pagesen
TitleMotorway flow optimization in presence of vehicle automation and communication systemsen
CreatorRoncoli Claudioen
CreatorPapamichail Ioannisen
CreatorΠαπαμιχαηλ Ιωαννηςel
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
PublisherNational Technical University of Athensen
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 SummaryThis paper describes a novel approach for defining optimal strategies in motorway traffic flow control, considering that a portion of vehicles are equipped with vehicle automation and communication systems. An optimisation problem, formulated as a Quadratic Programming (QP) problem, is developed with the purpose of minimising traffic congestion. The proposed problem is based on a first-order macroscopic traffic flow model able to capture the lane changing and the capacity drop phenomena. An application example demonstrates the achievable improvements in terms of the Total Time Spent if the vehicles travelling on the motorway are influenced by the control actions computed as a solution of the optimisation problem.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2014-10-12-
Date of Publication2014-
SubjectMotorway traffic controlen
SubjectTraffic flow optimisationen
SubjectQuadratic programmingen
Bibliographic CitationC. Roncoli, M. Papageorgiou, I. Papamichail, "Motorway flow optimization in presence of vehicle automation and communication systems," in Proceedings of the 1st International Conference on Engineering and Applied Science Optimization (OPT-i), 2014, pp. 519-529. el

Available Files

Services

Statistics