Evaluation of an MPC strategy for motorway traffic comprising connected and automated vehiclesEvaluation of an MPC strategy for motorway traffic comprising connected and automated vehicles Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2018-04-162017enThis 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.The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 321132, project TRAMAN21. http://creativecommons.org/licenses/by-nc-nd/4.0/IEEE 20th International Conference on Intelligent Transportation SystemsPerraki_et_al_IEEE ITSC_2017.pdfChania [Greece]Library of TUC2018-04-16application/pdf1.6 MBfree Perraki Georgia Περρακη Γεωργια Roncoli Claudio Roncoli Claudio Papamichail Ioannis Παπαμιχαηλ Ιωαννης Papageorgiou Markos Παπαγεωργιου Μαρκος Institute of Electrical and Electronics Engineers Microscopy Optimization Vehicle dynamics Optimal control Calibration Intelligent transportation systems