Print Email Facebook Twitter Multi-Vehicle Automated Driving as a Generalized Mixed-Integer Potential Game Title Multi-Vehicle Automated Driving as a Generalized Mixed-Integer Potential Game Author Fabiani, F. (TU Delft Team Bart De Schutter; University of Pisa) Grammatico, S. (TU Delft Team Bart De Schutter) Date 2020 Abstract This paper considers the multi-vehicle automated driving coordination problem. We develop a distributed, hybrid decision-making framework for safe and efficient autonomous driving of selfish vehicles on multi-lane highways, where each dynamics is modeled as a mixed-logical–dynamical system. We formalize the coordination problem as a generalized mixed-integer potential game, seeking an equilibrium solution that generates almost individually optimal mixed-integer decisions, given the safety constraints. Finally, we embed the proposed best-response-based algorithms within the distributed open- and closed-loop control policies. Subject Autonomous vehiclesnetworked control systemsoptimization methods To reference this document use: http://resolver.tudelft.nl/uuid:335da4d1-cc2d-41be-b0ed-e72c42dc5f3e DOI https://doi.org/10.1109/TITS.2019.2901505 ISSN 1524-9050 Source IEEE Transactions on Intelligent Transportation Systems, 21 (3), 1064-1073 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2020 F. Fabiani, S. Grammatico Files PDF MVAD_final_version.pdf 3.04 MB Close viewer /islandora/object/uuid:335da4d1-cc2d-41be-b0ed-e72c42dc5f3e/datastream/OBJ/view