This paper presents MAKKSim, a pedestrian dynamics simulator based on a computational discrete model in which pedestrians are represented as utility-based agents. The computational model and the system architecture are discussed, focusing on the development of the tool and on its application in a real-word case study, for the comparison and the evaluation of different strategies of crowd management and of different structural changes on the geometry of the environment.

Crociani, L., Manenti, L., Vizzari, G. (2013). MAKKSim: MAS-Based Crowd Simulations for Designer’s Decision Support. In Advances on Practical Applications of Agents and Multi-Agent Systems (pp. 25-36). Springer [10.1007/978-3-642-38073-0_3].

MAKKSim: MAS-Based Crowd Simulations for Designer’s Decision Support

CROCIANI, LUCA;MANENTI, LORENZA ALESSANDRA;VIZZARI, GIUSEPPE
2013

Abstract

This paper presents MAKKSim, a pedestrian dynamics simulator based on a computational discrete model in which pedestrians are represented as utility-based agents. The computational model and the system architecture are discussed, focusing on the development of the tool and on its application in a real-word case study, for the comparison and the evaluation of different strategies of crowd management and of different structural changes on the geometry of the environment.
Capitolo o saggio
Multi-Agent Systems, Complex Systems, Crowd, Groups
English
Advances on Practical Applications of Agents and Multi-Agent Systems
2013
978-3-642-38072-3
7879
Springer
25
36
Crociani, L., Manenti, L., Vizzari, G. (2013). MAKKSim: MAS-Based Crowd Simulations for Designer’s Decision Support. In Advances on Practical Applications of Agents and Multi-Agent Systems (pp. 25-36). Springer [10.1007/978-3-642-38073-0_3].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/43640
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