Traffic Assignment Game is a type of non-cooperative network game in which individual players choose routes in a transportation network to minimize their own travel cost, and the resulting equilibrium reflects a potential game structure where a global cost function aligns with individual incentives.
18
Publications
772
Citations
37
Authors
28
Institutions
Publications per year
2017–2026
5
Variants
Traffic Assignment Game
Parents
Publications
18
Multi-Agent Deep Reinforcement Learning Method for EV Charging Station Game
Tao Qian, Chengcheng Shao, Xuliang Li et al. · IEEE Transactions on Power Systems · 2021 · 121 citations
1–5 of 18
Authors
37
- NE
5
h-index
- JC
2
h-index
- RC
2
h-index
- KT
2
h-index
- MG
2
h-index
1–5 of 37
Institutions
28
Columbia University
New York, United States
2 h-index
2 publications
189 citations
The University of Texas at Austin
Austin, United States
2 h-index
3 publications
97 citations
Texas A&M University
College Station, United States
2 h-index
2 publications
82 citations
University of Chile
Santiago, Chile
2 h-index
4 publications
242 citations
Meta (Israel)
Tel Aviv, Israel
2 h-index
2 publications
22 citations
Paderborn University
Paderborn, Germany
2 h-index
6 publications
309 citations
Meta (United States)
Menlo Park, United States
2 h-index
2 publications
22 citations
New York University Abu Dhabi
Abu Dhabi, United Arab Emirates
1 h-index
1 publications
26 citations
1–8 of 28
Venues
- Transportation Research Record Journal of the Transportation Research Board
TRR · 2 publications · 50 citations
2
h-index
- SSRN Electronic Journal
Repository · 2 publications · 22 citations
2
h-index
- Operations Research
2 publications · 181 citations
2
h-index
- IEEE Transactions on Power Systems
1 publications · 121 citations
1
h-index
- Sustainable Cities and Society
1 publications · 87 citations
1
h-index
1–5