Evaluation of an MPC strategy for motorway traffic comprising connected and automated vehicles

Georgia Perraki, Claudio Roncoli, Ioannis Papamichail, Markos Papageorgiou

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

This paper investigates the effectiveness of a Model Predictive Control (MPC) scheme for motorway traffic involving vehicles equipped with Vehicle Automation and Communication Systems (VACS). A stretch of the motorway A20, which connects Rotterdam to Gouda in the Netherlands, is modeled in a microscopic traffic simulation environment. In order to ensure the reliability of the microscopic simulation outcome, the simulation parameters are tuned with the purpose of replicating realistic traffic conditions. The MPC framework is then applied to the calibrated microscopic simulation model aiming at the mitigation of traffic congestion in the case study motorway. The synergistic control measures for coordinated and integrated traffic control are ramp metering, with the use of conventional traffic lights, vehicle speed control, and lane changing control actions that are enabled with the aid of VACS.
Original languageEnglish
Title of host publicationProceedings of the 20th International IEEE Conference on Intelligent Transportation Systems (ITSC 2017)
Place of PublicationYokohama, Japan
PublisherIEEE
Pages2315-2321
Number of pages7
ISBN (Electronic)978-1-5386-1526-3
DOIs
Publication statusPublished - 14 Mar 2018
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Intelligent Transportation Systems - Yokohama, Japan
Duration: 16 Oct 201719 Oct 2017
Conference number: 20

Publication series

NameProceedings of the IEEE international conference on intelligent transportation systems
PublisherIEEE
ISSN (Electronic)2153-0017

Conference

ConferenceIEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC
CountryJapan
CityYokohama
Period16/10/201719/10/2017

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