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Nonlinear optimal control as a source of intelligent traffic control

Papageorgiou Markos, Papamichail Ioannis, Carlson R.C., Messmer A.

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URIhttp://purl.tuc.gr/dl/dias/5CB17B0E-3E98-4246-A47E-AA561184F42F-
Languageen-
TitleNonlinear optimal control as a source of intelligent traffic controlen
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
CreatorPapamichail Ioannisen
Creator Carlson R.C.en
CreatorMessmer A.en
Content SummaryNonlinear optimal control may deliver optimal decisions under any scenario related to nonlinear large-scale complex processes, such as the traffic flow on motorway networks; this reflects an inherent intelligence of optimal control methods that may, at several instances, outperform the capabilities of human experts. After a short introduction, the presentation describes a general macroscopic discrete-time statespace model for the traffic flow on motorway networks that incorporates the impact of various traffic control measures such as ramp metering, variable speed limits and route guidance. The described mathematical model provides a solid basis for the formulation of a general optimal control problem aiming at minimising the total time spent by all vehicles in the network. The related very large-scale optimal control problem is solved by use of efficient feasible-direction methods employing projected gradients. Several application instances are provided to demonstrate the capabilities of the optimal control approach for the traffic flow control on extended motorway networks. The presentation concludes with a short discussion of some of the addressed issues. en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-09-
Date of Publication2010-
Bibliographic CitationM. Papageorgiou, I. Papamichail, R. C. Carlson R.C., A. Messmer, "Nonlinear optimal control as a source of intelligent traffic control," presented at 5th IMA Conference on Mathematics in Transport, London, UK, 2010.en

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