论文标题
基于人际距离的动态评估的全密度行人模拟器
An all-densities pedestrian simulator based on a dynamic evaluation of the interpersonal distances
论文作者
论文摘要
在本文中，我们处理的是行人建模，旨在模拟正常和紧急情况下的人群行为，包括高度拥挤的大众事件。我们特别关注了一个新的基于代理的，连续的空间，离散时间，非不同的模型，该模型在该模型中具有有限的大小，并且在一定程度上可以压缩。该模型还考虑了出现在极高密度的推动行为。主要的新颖性是，没有假定行人在决定人群的行为的空间中产生任何形式的“场”。取而代之的是，每个行人的行为仅依赖于其对环境的了解以及对其与其他人与其他人之间的人际距离的评估。该模型能够用“双重驼峰”（即第二个峰）重现凹/凹的基本图，该图在身体力量发挥作用时会显示出来。我们提出了几项数值测试（其中一些是受到最近的ISO 20414标准的启发），其中显示了该模型如何重现经典的自组织模式。
In this paper we deal with pedestrian modeling, aiming at simulating crowd behavior in normal and emergency scenarios, including highly congested mass events. We are specifically concerned with a new agent-based, continuous-in-space, discrete-in-time, nondifferential model, where pedestrians have finite size and are compressible to a certain extent. The model also takes into account the pushing behavior appearing at extreme high densities. The main novelty is that pedestrians are not assumed to generate any kind of "field" in the space around which determines the behavior of the crowd. Instead, the behavior of each pedestrian solely relies on its knowledge of the environment and the evaluation of interpersonal distances between it and the others. The model is able to reproduce the concave/concave fundamental diagram with a "double hump" (i.e. with a second peak) which shows up when body forces come into play. We present several numerical tests (some of them being inspired by the recent ISO 20414 standard), which show how the model can reproduce classical self-organizing patterns.
