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首页> 外文期刊>Journal of Cellular Automata >Multiscale Simulation of Pedestrians for Efficient Predictive Modeling in Large Events
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Multiscale Simulation of Pedestrians for Efficient Predictive Modeling in Large Events

机译:大事件中行人的多尺度仿真,以进行有效的预测建模

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摘要

The Hermes project [1] demonstrated the usefulness of on site predictive simulations of probable evacuation scenarios for security personnel. However, the hardware needed was prohibitively expensive [2]. The present paper shows that a multiscale approach can perform the simulation in a fraction of time without loss of useful information. The main problem is the correct passing of agents from a coarse scale model to a fine scale model, here from a CA model to a force based model. This will be achieved by inserting agents into the force based model at positions and speeds optimized for smooth walking either by a priori information or using Voronoi cells. The resulting model is easily parallelised using OpenMP, achieving reasonable efficiency.
机译:Hermes项目[1]展示了对安全人员可能的撤离场景进行现场预测模拟的有用性。但是,所需的硬件过于昂贵[2]。本文表明,多尺度方法可以在短时间内完成仿真,而不会丢失有用的信息。主要问题是代理从粗规模模型到精细规模模型的正确传递,这里是从CA模型到基于力的模型的正确传递。这将通过以先验信息或使用Voronoi单元将智能体以针对平滑行走而优化的位置和速度插入基于力的模型中来实现。使用OpenMP可以轻松并行化生成的模型,从而获得合理的效率。

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