Modeling of Pedestrian Behavior and Its Applications to Spatial Evaluation
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
SITUATED CELLULAR AGENTS APPROACH TO CROWD MODELING AND SIMULATION
Cybernetics and Systems
Large-Scale Agent-Based Pedestrian Simulation
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
System Issues in Multi-agent Simulation of Large Crowds
Multi-Agent-Based Simulation VIII
Modeling pedestrian crowd behavior based on a cognitive model of social comparison theory
Computational & Mathematical Organization Theory
Dealing with crowd crystals in MAS-based crowd simulation: a proposal
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
An agent-based proxemic model for pedestrian and group dynamics: motivations and first experiments
MABS'11 Proceedings of the 12th international conference on Multi-Agent-Based Simulation
The impact of culture on crowd dynamics: an empirical approach
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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In this paper we present an agent-based simulation of pedestrian dynamics based on cellular automata models. Differently from the cellular automata, our model represents different pedestrian characteristics: gender, speed, room geometry knowledge, and herding and obstacle avoidance behavior. We study how different room geometries, different pedestrian groups sizes and characteristics influence the pedestrian dynamics and the macroscopic behavior of the system. With this agent-based approach we expect to obtain more realistic results than the cases where the pedestrians are uniformly modeled. Our analysis indicates that pedestrian groups with different features contribute in different ways to the macroscopic behavior.