Evaluation of a model predictive control framework for motorway traffic involving conventional and automated vehiclesEvaluation of a model predictive control framework for motorway traffic involving conventional and automated vehicles Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2019-09-022018enA Model Predictive Control (MPC) strategy for motorway traffic management, which takes into account both conventional control measures and control actions executed by vehicles equipped with Vehicle Automation and Communication Systems (VACS), is presented and evaluated using microscopic traffic simulation. A stretch of the motorway A20, which connects Rotterdam to Gouda in the Netherlands, is taken as a realistic test bed. In order to ensure the reliability of the application results, extensive speed and flow measurements, collected from the field, are used to calibrate the site's microscopic traffic simulation model. The efficiency of the MPC framework, applied to this real sizable and complex network under realistic traffic conditions, is examined for different traffic conditions and different penetration rates of equipped vehicles. The adequacy of the control application when only VACS equipped vehicles are used as actuators, is also considered, and the related findings underline the significance of conventional control measures during a transition period or in case of increased future demand.http://creativecommons.org/licenses/by/4.0/Transportation Research Part C: Emerging Technologies92July456-471 Perraki Georgia Περρακη Γεωργια Roncoli Claudio Roncoli Claudio Papamichail Ioannis Παπαμιχαηλ Ιωαννης Papageorgiou Markos Παπαγεωργιου Μαρκος Elsevier Aimsun Connected and autonomous vehicles Microscopic traffic simulation Model predictive control Motorway traffic control