Simulating crowd movement in agent-based model of large-scale flood

Suvalak Vijitpornkul, Worawan Marurngsith
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引用次数: 2

Abstract

Crowd movement during natural disasters and major accidents can affect the success of evacuation procedure. Thus to develop an effective evacuation plan, a wide-range of scenarios causing different routes and patterns of crowd movement should be considered. Recent researches in agent-based simulation have achieved techniques to simulate crowd movement in emergency scenarios at city scale. However simulating crowd movement at a macroscopic level for disasters which might affect several cities, like large-scale flood, is still a challenge. This paper addresses this issue and makes three contributions. First, the development of an agent-based layered model to simulate large-scale flood using GIS is demonstrated. Second, the simulation of crowd agents' movement on available roads is presented. Third, the preliminary experiments running on private Cloud server is reported. The experiments cover case studies illustrated the movement of crowd agents around Thailand while several parts of the country were inundated. The 2D animation depict the movement of crowd; and the simulation results show the status of the agents and the amount of individuals which required shelters. To simulate one day events, the simulator took 4-9 hours execution time depending on the severity of floods and available facilities.
基于智能体的大规模洪水人群运动模拟
在自然灾害和重大事故发生时,人群的移动会影响疏散过程的顺利进行。因此,为了制定有效的疏散计划,应考虑引起不同路线和人群移动模式的各种场景。近年来基于智能体的仿真研究已经实现了在城市规模的紧急情况下模拟人群运动的技术。然而,在宏观层面上模拟可能影响多个城市的灾害(如大规模洪水)的人群运动仍然是一个挑战。本文解决了这个问题,并做出了三点贡献。首先,介绍了基于agent的分层模型在大尺度洪水模拟中的应用。其次,对人群智能体在可用道路上的运动进行了仿真。第三,报告了在私有云服务器上运行的初步实验。这些实验涵盖了案例研究,说明了泰国几个地区被淹没时人群代理人在泰国各地的移动。2D动画描绘人群的运动;仿真结果显示了agent的状态和需要避难的个体数量。为了模拟一天的事件,根据洪水的严重程度和可用的设施,模拟器需要4-9个小时的执行时间。
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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