Abstract - Multi-agent model predictive control for vehicle platooning
       PATR

The research on smarter transport systems for safer roads has a major strategic relevance for the European industry, this being one of the priorities expressed clearly in H2020 intelligent transport systems (ITS), while vehicle platooning is the solution to the stringent problems that appear on existing highways and city roads.

The main goal of this project is to create a general framework to model and control the cooperative vehicles in a platoon considered as a multi-agent system. The framework will include wireless communications induced imperfections, hardware/computational constraints and drive disturbances even from the design phase of the controller to improve safety, to reduce fuel consumption, to increase road capacity and decrease the emissions.

The inter-disciplinary perspective adopted by this study is aimed at contributing to the development of new modeling frameworks and highly advanced control strategies based on multi-agent systems in application areas that are characterized by distributed environments.