Crowd simulation has been becoming an efficient tool to study the crowd behaviour and its movement. Compared with macroscopic model, microscopic model is able to generate a fine grain simulation result. This paper proposes a agent-based model for crowd simulation for dense area. The simulation model considers how agent selects a goal as its moving destination, how avoids collision with neighboured agents, how leads or follow a group of agents, and how avoids high dense area to reduce its traveling time. Simulation results show the proposed agent-based model is able to simulate agent navigating and move around dense simulation environment. The simulation performance is also efficient. © 2012 Springer-Verlag.
CITATION STYLE
Xiong, M., Chen, Y., Wang, H., & Hu, M. (2012). An agent-based model for simulating human-like crowd in dense places. In Communications in Computer and Information Science (Vol. 316 CCIS, pp. 8–19). https://doi.org/10.1007/978-3-642-34289-9_2
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