Hierarchical model predictive control for multi-lane motorways in presence of Vehicle Automation and Communication Systems
(EN)
Παπαμιχαηλ Ιωαννης
(EL)
Παπαγεωργιου Μαρκος
(EL)
Roncoli Claudio
(EL)
Papageorgiou Markos
(EN)
Papamichail Ioannis
(EN)
Roncoli Claudio
(EN)
Πολυτεχνείο Κρήτης
(EL)
Technical University of Crete
(EN)
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.
(EN)
