A Holonification Model Using Random Forest for Crowd Simulation

Crowd simulation for crisis management: The outcomes of the last decade

“…Agents in MMDP were experiencing collisions presented some process difficulties, for this reason the number of agents had to be greatly reduced. Peymanfard and Mozayani proposed a holonification method (joining of an agent into a crowd) for data-driven crowd modelling (Peymanfard & Mozayani, 2019). Using real-world data and Random Forests (RFs) they modeled the rules of joining each agent to a crowd and leaving it.…”