Crowd Dynamics: Modeling and Control of Multiagent Systems

This review aims to present recent developments in modeling and control of multiagent systems. A particular focus is set on crowd dynamics characterized by complex interactions among agents, also called social interactions, large-scale Specifically, a each individual agent interacts with field generated the other agents environment. These systems can be modeled at microscopic scale ordinary differential equations, while an alternative description mesoscopic given partial equation for propagation probability density agents. Control actions applied level as well corresponding fields. article presents compares different types, specific application multilane, multiclass traffic developed some detail, showing main tools work hybrid setting relevant impacts autonomous driving.