Hierarchical model predictive control for multi-lane motorways in presence of Vehicle Automation and Communication Systems

Claudio Roncoli*, Ioannis Papamichail, Markos Papageorgiou

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

48 Citations (Scopus)

Abstract

A widespread deployment of vehicle automation and communication systems (VACS) is expected in the next years. This may lead to improvements in traffic management efficiency because of the novel possibilities of using VACS both as sensors and as actuators, as well as of a variety of new communications channels (vehicle-to-vehicles, vehicle-to-infrastructure) and related opportunities. To achieve this traffic flow efficiency, appropriate studies, developing potential control strategies to exploit the VACS availability, are essential. This paper describes a hierarchical model predictive control framework that can be used for the coordinated and integrated control of a motorway system, considering that an amount of vehicles are equipped with specific VACS. The concept employs and exploits the synergistic (integrated) action of a number of old and new control measures, including ramp metering, vehicle speed control, and lane changing control at a macroscopic level. The effectiveness and the computational feasibility of the proposed approach are demonstrated via microscopic simulation for a variety of penetration rates of equipped vehicles.

Original languageEnglish
Pages (from-to)117-132
Number of pages16
JournalTransportation Research Part C: Emerging Technologies
Volume62
DOIs
Publication statusPublished - 1 Jan 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Model predictive control
  • Motorway traffic control
  • Vehicle automation and communication systems

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