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HyPedSim: A Multi-Level Crowd-Simulation Framework-Methodology, Calibration, and Validation
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DOI：10.3390/s24051639.png)
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摘要
En 中文
Large-scale crowd phenomena are complex to model because the behaviour of pedestrians needs to be described at both strategic, tactical, and operational levels and is impacted by the density of the crowd. Microscopic models manage to mimic the dynamics at low densities, whereas mesoscopic models achieve better per;
mances in dense situations. This paper proposes and evaluates a novel agent-based model to enable agents to dynamically change their operational model based on local density. The ability to combine microscopic and mesoscopic models;
multi-scale simulation is studied through a use case of pedestrians at the Festival of Lights, Lyon, France. Pedestrian outflow data are extracted from video recordings of exiting crowds at the festival. The hybrid model is calibrated and validated using a genetic algorithm that optimises the match between simulated and observed outflow data. Additionally, a local sensitivity analysis is then conducted to identify the most sensitive parameters in the model. Finally, the per;
mance of the hybrid model is compared to different models in terms of density map and computation time. The results demonstrate that the hybrid model has the capacity to effectively simulate pedestrians across varied density scenarios while optimising computational per;
mance compared to other models.
Keyword:
agent-based model
multi-level behaviour
pedestrian modelling
multi-scale simulation
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期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
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引用论文
Research Issues in Agent-Based Simulation for Pedestrians Evacuation基于Agent的行人疏散仿真研究.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
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