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

Search

Browse

My Space

Coordinated ramp metering for freeway networks – A model-predictive hierarchical control approach

Ioannis Papamichail, Apostolos Kotsialos, Ioannis Margonis, Papageorgiou Markos

Simple record


URIhttp://purl.tuc.gr/dl/dias/CE27CC7A-6ECE-44DF-B6DE-DBF5B1A4F5F3-
Identifierhttps://doi.org/10.1016/j.trc.2008.11.002-
Languageen-
TitleCoordinated ramp metering for freeway networks – A model-predictive hierarchical control approachen
CreatorIoannis Papamichailen
CreatorApostolos Kotsialosen
CreatorIoannis Margonisen
CreatorPapageorgiou Markosen
CreatorΠαπαγεωργιου Μαρκοςel
PublisherElsevieren
Content SummaryA nonlinear model-predictive hierarchical control approach is presented for coordinated ramp metering of freeway networks. The utilized hierarchical structure consists of three layers: the estimation/prediction layer, the optimization layer and the direct control layer. The previously designed optimal control tool AMOC (Advanced Motorway Optimal Control) is incorporated in the second layer while the local feedback control strategy ALINEA is used in the third layer. Simulation results are presented for the Amsterdam ring-road. The proposed approach outperforms uncoordinated local ramp metering and its efficiency approaches the one obtained by an optimal open-loop solution. It is demonstrated that metering of all on-ramps, including freeway-to-freeway intersections, with sufficient ramp storage space leads to the optimal utilization of the available infrastructure.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-23-
Date of Publication2010-
Bibliographic CitationPapamichail I., Kotsialos A., Margonis I. and Papageorgiou M., 'Coordinated ramp metering for freeway networks – A model-predictive hierarchical control approach", Transportation Research Part C, Vol. 18, no. 3, pp. 311-331, Jun. 2010. doi:10.1016/j.trc.2008.11.002 en

Services

Statistics