Title | ||
---|---|---|
Enhancing emergency pedestrian safety through flow rate design: Bayesian-Nash Equilibrium in multi-agent system |
Abstract | ||
---|---|---|
•Multi-agent system with game theory can effectively mimic dense crowds.•Tunnel width and flow rate significantly affected Pedestrian’s movement.•Expanding width by 1 m allows Safe Pedestrian Flow Rate to increase by 3ped/s. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.cie.2019.106058 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Pedestrian management,Safe pedestrian flow rate,Bayesian-Nash Equilibrium,Multi-agent system,Crowd management | Pedestrian,Mathematical optimization,Expected utility hypothesis,Collision,Multi-agent system,Robustness (computer science),Engineering,Bayesian game,Complete information,Volumetric flow rate | Journal |
Volume | ISSN | Citations |
137 | 0360-8352 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Can Liao | 1 | 0 | 0.34 |
Haixiang Guo | 2 | 0 | 0.34 |
Kejun Zhu | 3 | 177 | 22.96 |
Jennifer Shang | 4 | 191 | 17.93 |