MASON: A Multiagent Simulation Environment
Simulation
Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions
Transportation Science
Incorporating a PMF-Based Injury Model into a Multi-Agent Representation of Crowd Behavior
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
Integrating crowd-behavior modeling into military simulation using game technology
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Agent-based modeling and simulation: desktop ABMS
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Agent-based human behavior modeling for crowd simulation
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Agent-based simulation of competitive and collaborative mechanisms for mobile service chains
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Crowd modeling and simulation technologies
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How to build valid and credible simulation models
Winter Simulation Conference
A brief introduction to optimization via simulation
Winter Simulation Conference
Modeling crowd dynamics by the mean-field limit approach
Mathematical and Computer Modelling: An International Journal
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A crowd is a group of people attending a public gathering with some joint purpose, such as protesting against the government or celebrating an event. In some countries, these kinds of activities are the only way to express public displeasure with their government. The government's reactions to such activities may or may not be tolerant. For this reason, such situations must be eliminated by recognizing when and how they are likely to occur, and then providing guidelines to mitigate them. In urban areas, police and military forces use non-lethal weapons (NLWs), such as rubber bullets or clubs, to control a violent and destructive crowd. In order to estimate the results of this engagement, ensuring minimum injuries and reaching an optimal end state, simulating such actions in a virtual environment is necessary. In this work, a fuzzy logic-based crowd injury model for determining the physical effects of NLWs is proposed. Fuzzy logic concepts can be applied to a problem by using linguistic rules, which are determined by problem domain experts. A group of police and military officers were consulted for a set of injury model rules, and those rules were then included in the simulation platform. Sensitivity analysis has been conducted to analyze parameters in the model. As a proof of the concept, a prototype system was implemented using the Repast Simphony agent-based simulation toolkit. Simulation results illustrated the effectiveness of the simulation framework.