基于多智能体的疏散仿真系统中的人群动力学建模

Adrian-Costin Tundrea
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引用次数: 1

摘要

本文旨在研究疏散模拟系统中人群动力学建模的各种方法,一方面回顾每种模型的复杂性,另一方面讨论和量化它们在应用于现实疏散场景时的性能。此外,将评估异质代理对疏散模拟保真度的影响,并提出一组代理参数,以提高现有模型的鲁棒性。最后,提出了一个灵活、轻量级的基于智能体的模拟框架,并对基本疏散场景的早期结果进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Crowd Dynamics in a Multi-Agent Based Evacuation Simulation System
This paper aims to study the various approaches to modeling crowd dynamics in the context of an evacuation simulation system, reviewing on one side the complexities of each model and on the other discussing and quantifying their performance when applied to real-life evacuation scenarios. Further, the impact of heterogeneous agents in the fidelity of evacuation simulation will be assessed and a set of agent parameters will be proposed in order to increase the robustness of existing models. Finally a flexible and lightweight agent-based simulation framework will be presented and the early results of basic evacuation scenarios will be analyzed.
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