A framework for execution and 3D visualization of situated cellular agent based crowd simulations

Authors:
Giuseppe Vizzari;Giorgio Pizzi;Flávio Soares Corrêa da Silva
Affiliations:
University of Milano-Bicocca, Milano, Italy;University of Milano-Bicocca, Milano, Italy;Universidade de São Paulo, São Paulo - Brasil
Venue:
Proceedings of the 2008 ACM symposium on Applied computing
Year:
2008

Citing 4
Cited 2

CA Approach to Collective Phenomena in Pedestrian Dynamics

ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Augmented experiment: participatory design with multiagent simulation

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Regulation function of the environment in agent-based simulation

E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Towards a methodology for situated cellular agent based crowd simulations

ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World

Towards Hybrid Situated Agents Based Virtual Environments

WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Visualisation on demand for agent-based simulation

CAVE'12 Proceedings of the First international conference on Cognitive Agents for Virtual Environments

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a framework supporting the definition and implementation of crowd simulation systems based on interacting situated agents. The framework supports the specification and execution of visually rich 3D virtual environment endowed by the presence of mobile agents acting and interacting inside it according to a multi-agent model that also supports the definition of agents' environment and its relevant elements. The paper introduces the multi-agent model underlying the framework and its basic architecture. Sample applications are also described so as to show the potential of the framework in executing models comprising several hundreds of agents producing an effective visualization of the generated dynamics.