Semantic Scholar Open Access 2021 25 sitasi

Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria

A. Zanardi Enrico Mion M. Bruschetta S. Bolognani A. Censi +1 lainnya

Abstrak

We describe Urban Driving Games (UDGs) as a particular class of differential games that model the interactions and incentives of the urban driving task. The drivers possess a “communal” interest, such as not colliding with each other, but are also self-interested in fulfilling traffic rules and personal objectives. Subject to their physical dynamics, the preference of the agents is expressed via a lexicographic relation that puts as first priority the shared objective of not colliding. Under mild assumptions, we show that communal UDGs have the structure of a lexicographic ordinal potential game which allows us to prove several interesting properties. Namely, socially efficient equilibria can be found by solving a single (lexicographic) optimal control problem and iterated best response schemes have desirable convergence guarantees.

Topik & Kata Kunci

Penulis (6)

A

A. Zanardi

E

Enrico Mion

M

M. Bruschetta

S

S. Bolognani

A

A. Censi

E

E. Frazzoli

Format Sitasi

Zanardi, A., Mion, E., Bruschetta, M., Bolognani, S., Censi, A., Frazzoli, E. (2021). Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria. https://doi.org/10.1109/LRA.2021.3068657

Akses Cepat

Lihat di Sumber doi.org/10.1109/LRA.2021.3068657
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
25×
Sumber Database
Semantic Scholar
DOI
10.1109/LRA.2021.3068657
Akses
Open Access ✓