Linear Quadratic MPC for Integrated Route Guidance and Ramp Metering

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

5 Citations (Scopus)

Abstract

Capacity drop is a common phenomenon that typically occurs at the downstream of freeway congestion area, which decreases traffic operation efficiency significantly. It can be avoided by some traffic control measures such as ramp metering. In this paper, a generic first-order traffic flow model is proposed, to reproduce the capacity drop at both on-ramp bottleneck and lane drop bottleneck. Based on this model, a linear quadratic model predictive control strategy for the integration of dynamic route guidance and ramp metering is presented. The objective is to minimize the total time spend of a traffic network. Due to the linearity of the optimization problem, the problem can be solved efficiently, which makes the problem suitable for real-time traffic control. A hypothetical traffic network containing both on-ramp bottleneck and lane drop bottleneck is utilized as a test bed, to demonstrate the effectiveness of the proposed control strategy.

Original languageEnglish
Title of host publicationIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1150-1155
Number of pages6
Volume2015-October
ISBN (Print)978-1-4673-6595-6
DOIs
Publication statusPublished - 30 Oct 2015
Event18th international conference on intelligent transportation systems, ITSC 2015, Las Palmas, Spain - Piscataway, Gran Canaria, Spain
Duration: 15 Sep 201518 Sep 2015
Conference number: 18

Conference

Conference18th international conference on intelligent transportation systems, ITSC 2015, Las Palmas, Spain
Abbreviated titleITSC 2015
CountrySpain
CityGran Canaria
Period15/09/1518/09/15

Keywords

  • Capacity drop
  • First-order model
  • Model predictive control
  • Ramp metering
  • Route guidance

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