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Sustainable model-predictive control in urban traffic networks: efficient solution based on general smoothening methods

Jamshidnejad, Anahita, Papamichail Ioannis, Papageorgiou Markos, Schutter, Bart de

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URIhttp://purl.tuc.gr/dl/dias/5AC36854-9AC3-4FCE-AFCE-67DC37926E5D-
Identifierhttps://doi.org/10.1109/TCST.2017.2699160-
Identifierhttps://ieeexplore.ieee.org/document/7932138-
Languageen-
Extent15 pagesen
TitleSustainable model-predictive control in urban traffic networks: efficient solution based on general smoothening methodsen
CreatorJamshidnejad, Anahitaen
CreatorPapamichail Ioannisen
CreatorΠαπαμιχαηλ Ιωαννηςel
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
CreatorSchutter, Bart deen
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryTraffic-responsive control approaches, including model-predictive control (MPC), are efficient methods for making the best use of the available network capacity. Moreover, gradient-based approaches, which can be applied to smooth optimization problems, have proven their efficiency, both computationally and performance-wise, in finding optima of optimization problems. In this paper, we propose an MPC system for an urban traffic network that applies a gradient-based optimization approach to solve the control optimization problem. The controller uses a new smooth integrated flow-emission model to find a balanced tradeoff between reduction of the congestion and of the total emissions. We also introduce efficient smoothening methods for nonsmooth mathematical models of physical systems. The effectiveness of the proposed approach is demonstrated via a case study.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2019-09-13-
Date of Publication2018-
SubjectGradient-based optimizationen
SubjectModel-predictive control (MPC)en
SubjectSmootheningen
SubjectUrban traffic control en
Bibliographic CitationΑ. Jamshidnejad, Ι. Papamichail, Μ. Papageorgiou and B. De Schutter, "Sustainable model-predictive control in urban traffic networks: efficient solution based on general smoothening methods," IEEE Trans. Control Syst. Technol., vol. 26, no. 3, pp. 813-827, May 2018. doi: 10.1109/TCST.2017.2699160el

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