A model-predictive urban traffic control approach with a modified flow model and endpoint penalties

Ana Jamshidnejad, I Papamichail, M Papageorgiou, Bart De Schutter

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Nowadays, congestion caused by traffic in urban areas is considered as a major problem. In order to make the best use of the existing road capacity traffic-responsive control systems, including model-predictive controllers, are excellent choices. A mo del-predictive controller can minimize a cost function along a given time horizon. We propose a model-predictive control system that aims to reduce the congestion, and uses an internal flow model, which is our proposed modified version of the S-model. In the formulation of the objective function for the controller, we take into account the effect of those vehicles that remain in the network at the end of the prediction horizon until the network is completely evacuated. We formulate this effect as endpoint penalties for the MPC optimization problem. Finally, we will apply the designed controller to an urban traffic network and compare two scenarios, i.e., the fixed-time control case and the model-predictive control approach with the endpoint penalties proposed in this paper. The results prove the excellent performance of the model-predictive controller compared with the fixed-time controller.
Original languageEnglish
Title of host publicationIFAC-PapersOnLine
Subtitle of host publicationProceedings 14th IFAC Symposium on Control in Transportation Systems (CTS 2016)
EditorsTankut Acarman
Place of PublicationLaxenburg, Austria
PublisherElsevier
Pages147-152
Volume49 - 3
DOIs
Publication statusPublished - 2016
Event14th IFAC Symposium on Control in Transportation Systems - ITU Faculty of Architecture, Istanbul, Turkey
Duration: 18 May 201620 May 2016
http://www.cts2016.org/en/

Conference

Conference14th IFAC Symposium on Control in Transportation Systems
Abbreviated titleCTS 2016
Country/TerritoryTurkey
CityIstanbul
Period18/05/1620/05/16
Internet address

Keywords

  • Traffic control
  • Model-predictive control
  • Urban traffic flow model
  • Endpoint penalties

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