Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
12 tokens/sec
GPT-4o
12 tokens/sec
Gemini 2.5 Pro Pro
41 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
37 tokens/sec
DeepSeek R1 via Azure Pro
33 tokens/sec
2000 character limit reached

Simulation of Pedestrian Movements Using Fine Grid Cellular Automata Model (1406.3567v1)

Published 13 Jun 2014 in cs.OH

Abstract: Crowd simulation is used for evacuation and crowd safety inspections, study of performance in crowd systems and animations. Cellular automata has been extensively used in modelling the crowd. In regular cellular automata models, each pedestrian occupies a single cell with the size of a pedestrian body. Since the space is divided into relatively large cells, the movements of pedestrians look like the movements of pieces on a chess board. Furthermore, all pedestrians have the same body size and speed. In this paper, a method called fine grid cellular automata is proposed in which smaller cells are used and pedestrian body may occupy several cells. The model allows the use of different body sizes, shapes and speeds for pedestrian. The proposed model is used for simulating movements of pedestrians toward a target. A typical walkway scenario is used to test and evaluate the model. The movements of pedestrians are smoother because of the finer grain discretization of movements and the simulation results match empirical speed-density graphs with good accuracy.

Citations (6)

Summary

We haven't generated a summary for this paper yet.