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Motorway flow optimization in presence of vehicle automation and communication systems

Roncoli Claudio, Papamichail Ioannis, Papageorgiou Markos

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URIhttp://purl.tuc.gr/dl/dias/9BEA2A38-AFF2-49E1-B344-30E2C7BD34B5-
Γλώσσαen-
Μέγεθος11 pagesen
ΤίτλοςMotorway flow optimization in presence of vehicle automation and communication systemsen
ΔημιουργόςRoncoli Claudioen
ΔημιουργόςPapamichail Ioannisen
ΔημιουργόςΠαπαμιχαηλ Ιωαννηςel
ΔημιουργόςPapageorgiou Markosen
ΔημιουργόςΠαπαγεωργιου Μαρκοςel
ΕκδότηςNational Technical University of Athensen
ΠεριγραφήThe 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
ΠερίληψηThis 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
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Ημερομηνία2014-10-12-
Ημερομηνία Δημοσίευσης2014-
Θεματική ΚατηγορίαMotorway traffic controlen
Θεματική ΚατηγορίαTraffic flow optimisationen
Θεματική ΚατηγορίαQuadratic programmingen
Βιβλιογραφική ΑναφοράC. 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

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