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A comparative analysis of solution algorithms for nonlinear freeway traffic control problems

Pasquale Cecilia, Anghinolfi Davide, Sacone Simona, Siri Silvia, Papageorgiou Markos

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URIhttp://purl.tuc.gr/dl/dias/6FB50211-BB7D-462F-AA94-81466BB8895F-
Identifierhttps://ieeexplore.ieee.org/document/7795798/-
Identifierhttps://doi.org/10.1109/ITSC.2016.7795798-
Languageen-
Extent6 pagesen
TitleA comparative analysis of solution algorithms for nonlinear freeway traffic control problemsen
CreatorPasquale Ceciliaen
CreatorAnghinolfi Davideen
CreatorSacone Simonaen
CreatorSiri Silviaen
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryObjective of this paper is to test and compare different solution algorithms for solving nonlinear freeway traffic control problems. The motivation of this work is related to the fact that the nonlinear problems arising in freeway traffic control are very challenging from a computational point of view, since they are generally characterized by a large number of variables and are often nonlinear and nonconvex. Hence, efficient solution algorithms for solving these problems are required in order to design efficient control frameworks to be applied in large freeway networks, possibly in real time. In this paper, some solution algorithms, either gradientbased or derivative-free, are tested on a specific freeway traffic control problem, i.e. The definition of a two-class ramp metering strategy to reduce congestions and emissions in a freeway.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-07-02-
Date of Publication2016-
SubjectTraffic controlen
SubjectOptimal controlen
SubjectAlgorithm design and analysisen
SubjectVehiclesen
SubjectSimulated annealingen
SubjectNonlinear opticsen
Bibliographic CitationC. Pasquale, D. Anghinolfi, S. Sacone, S. Siri and M. Papageorgiou, "A comparative analysis of solution algorithms for nonlinear freeway traffic control problems," in 19th IEEE International Conference on Intelligent Transportation Systems, 2016, pp. 1773-1778. doi: 10.1109/ITSC.2016.7795798en

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