Towards a Methodology for Situated Cellular Agent Based Crowd Simulations
This paper introduces a research activity aimed at the definition of a methodology to provide a solid conceptual framework for the development of simulation systems focused on crowd dynamics and based on the Situated Cellular Agent (SCA) model. After a brief introduction of the SCA Model, the general methodological approach is described. The main steps provide the definition of the spatial abstraction of the environment, the definition of its active elements, and the specification of types of mobile agents, the related behaviours with particular attention to their movement by means of the notion of utility. A case study is also briefly described in order to show how the methodology was applied in the modelling of crowd behaviour in an underground station.
KeywordsCellular Automaton Active Element Multiagent System Mobile Agent Active Object
Unable to display preview. Download preview PDF.
- 2.Helbing, D.: A Mathematical Model for the Behavior of Pedestrians. Behavioral Science, 298–310 (1991)Google Scholar
- 4.Dijkstra, J., Jessurun, J., Timmermans, H.J.P.: A Multi-Agent Cellular Automata Model of Pedestrian Movement. In: Pedestrian and Evacuation Dynamics, pp. 173–181. Springer, Heidelberg (2001)Google Scholar
- 6.Bandini, S., Manzoni, S., Vizzari, G.: Situated Cellular Agents: a Model to Simulate Crowding Dynamics. IEICE Transactions on Information and Systems: Special Issues on Cellular Automata E87-D, 669–676 (2004)Google Scholar
- 10.Campos, A.M.C., Canuto, A.M.P., Fernandes, J.H.C.: Towards a Methodology for Developing Agent-based Simulations: The MASim Methodology. In: 3rd international Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), Washington, DC, USA, pp. 1494–1495. ACM Press, New York (2004)Google Scholar
- 12.Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall, Englewood Cliffs (2002)Google Scholar
- 13.Bandini, S., Manzoni, S., Vizzari, G.: Towards a Specification and Execution Environment for Simulations Based on MMASS: Managing At–a–distance Interaction. In: Trappl, R. (ed.) Proceedings of the 17th European Meeting on Cybernetics and Systems Research, Austrian Society for Cybernetic Studies, pp. 636–641 (2004)Google Scholar
- 15.Bandini, S., Manzoni, S., Vizzari, G.: Crowd Modelling and Simulation: Towards 3D Visualization. In: Recent Advances in Design and Decision Support Systems in Architecture and Urban Planning, pp. 161–175. Kluwer Academic Publisher, Dordrecht (2004)Google Scholar