Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34289-9_2 | COMPUTATIONAL INTELLIGENCE AND INTELLIGENT SYSTEMS |
Keywords | Field | DocType |
Crowd Simulation, Agent-based Simulation, Microscopic Model | Macroscopic model,Agent-based model,Computer science,Collision,Crowd simulation,Distributed computing | Conference |
Volume | ISSN | Citations |
316 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muzhou Xiong | 1 | 142 | 14.90 |
| Yunliang Chen | 2 | 4 | 2.45 |
| Hao Wang | 3 | 3 | 1.06 |
| Min Hu | 4 | 1 | 0.69 |