Project description DEENESFRITPL Paving the way for lower energy consumption and greenhouse gas emissions Autonomous driving and platooning are considered the future of road transportation, promising to boost fuel efficiency and safety and reduce traffic congestion. However, research in this area is facing complex scenarios involving human interactions and hierarchical control design challenges. Addressing this, the EU-funded DiLeBaCo project aims to develop novel algorithms for the control of safety-critical multi-agent systems in real-world scenarios as well as shed light on the role of local informational limits in the performance and safety of such systems. The project will also design incentives for individual agents that will lead to the optimal coordination of a fleet and will pave the way for platooning in complex scenarios. Show the project objective Hide the project objective Objective Multi-agent systems offer a great potential to improve the quality of modern society life. In the near future fleets of autonomous cars will be able to reduce traffic congestion and fuel consumption while increasing road safety. With almost half of all freight being transported by road, it makes up approximately a quarter of the total EU energy consumption and accounts for 18% of the greenhouse emissions. Fuel reduction in this area will have a significant impact on the environment. One way to achieve such reductions is through platooning where heavy-duty vehicles drive close to each other to reduce their aerodynamic drag and thus increase their fuel efficiency. While autonomous driving and platooning are areas of active research, open challenges arise in complex traffic scenarios with human interactions. Another challenge is that hierarchical control design with several different layers is required. The specific goals of the project are to develop novel algorithms for the control of safety-critical multi-agent systems in real-world scenarios, to understand the role of local informational constraints on the performance and safety of such systems and to design incentives for the individual agents that lead to a desired coordination of a fleet. This way global objectives will be optimized while accounting for complex traffic situations. The scientific contribution lies in combining and extending recent results from distributed predictive control, statistical learning and game theory as well as understanding the role of informational constraints in distributed learning-based control of multi-agent systems. The developed methods will have a high impact on both industry and society. In particular, the project will enable platooning in more complex scenarios, which has the potential to reduce fuel consumption of the transportation sector by up to 10% and thus make a significant contribution to the overall energy consumption and greenhouse emissions of the EU. Fields of science engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehiclesnatural sciencesmathematicsapplied mathematicsgame theoryengineering and technologyenvironmental engineeringenergy and fuels Keywords multi-agent systems learning based control cooperative robotics Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2018 - Individual Fellowships Call for proposal H2020-MSCA-IF-2018 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator KUNGLIGA TEKNISKA HOEGSKOLAN Net EU contribution € 219 875,52 Address BRINELLVAGEN 8 100 44 Stockholm Sweden See on map Region Östra Sverige Stockholm Stockholms län Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 219 875,52 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. THE REGENTS OF THE UNIVERSITY OF CALIFORNIA United States Net EU contribution € 0,00 Address FRANKLIN STREET 1111 12 FLOOR 94607 OAKLAND CA See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 123 949,44
