Microscopic Simulation of Evacuation Processes on Passenger Ships
Proceedings of the Fourth International Conference on Cellular Automata for Research and Industry: Theoretical and Practical Issues on Cellular Automata
A validation methodology for agent-based simulations
Proceedings of the 2008 ACM symposium on Applied computing
Regulation function of the environment in agent-based simulation
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Artificial intelligence of virtual people in CA FF pedestrian dynamics model
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
On influencing of a space geometry on dynamics of some CA pedestrian movement model
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
Egress modeling through cellular automata based multi-agent systems
Transactions on Computational Collective Intelligence VII
The EvacSim pedestrian evacuation agent model: development and validation
Proceedings of the 2013 Summer Computer Simulation Conference
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In recent years, several approaches for modelling pedestrian dynamics have been proposed. However, so far not much attention has been paid to their quantitative validation. Instead the focus has been on the reproduction of empirically observed collective phenomena like the dynamical formation of lanes. Although this gives an indication of the realism of the model, for practical applications as in safety analysis, reliable quantitative predictions are required. We discuss the experimental situation focusing on the fundamental diagram that is essential for calibration. Furthermore, we present a cellular automaton, the floor field model, which forms the basis for various multi-agent simulations. Apart from the properties of its fundamental diagram, we discuss the role of conflicts and friction effects and their influence on evacuation times.