Multi-Vehicle Automated Driving as a Generalized Mixed-Integer Potential Game

Journal Article (2020)
Author(s)

F. Fabiani (University of Pisa, TU Delft - Team Bart De Schutter)

S. Grammatico (TU Delft - Team Bart De Schutter)

Research Group
Team Bart De Schutter
Copyright
© 2020 F. Fabiani, S. Grammatico
DOI related publication
https://doi.org/10.1109/TITS.2019.2901505
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 F. Fabiani, S. Grammatico
Research Group
Team Bart De Schutter
Issue number
3
Volume number
21
Pages (from-to)
1064-1073
Reuse Rights

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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.

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