基于agent的旅游景区极端天气疏散仿真

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI:10.1109/CIS.2017.00100

Lei Li, Lindi Xiao, Meng Zhang, Jingyi Kong, Hui Sun

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引用次数: 3

摘要

行人和车辆是疏散的主要对象。然而，目前的疏散模型在很大程度上忽略了这两个因素之间的相互作用。本文建立了一个基于agent的模型，考虑行人与车辆的交互作用，讨论了旅游区发生雾霾或热浪时交通基础设施的容量和数量对疏散效率的影响。通过调整进入旅游区的行人和车辆数量以及道路宽度来讨论疏散效率。此外，本研究还通过讨论实际环境中调整的成本/收益，得出了最优的适应策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Agent-Based Simulation of Evacuation Considering Extreme Weather in Tourist Areas

Pedestrians and vehicles are the main objects of evacuation. However, current evacuation models largely overlook the interaction between these two agents. This paper develops an agent-based model, which takes the interaction of pedestrians and vehicles into account, to discuss the influence of capacity and quantity of transportation infrastructures on evacuation efficiency when haze or heat wave happens in tourist areas. We discuss the evacuation efficiency by adjusting the number of entered pedestrians and vehicles, and the width of roads in tourist areas. In addition, this research obtains the optimal adaption strategy by discussing the cost/benefit of the adjustment in practical environment.

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2017 13th International Conference on Computational Intelligence and Security (CIS)

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