论文标题
使用细网格蜂窝蜂窝自动机对人群中的轮椅运动进行模拟
Simulation of Wheelchair Movements in Crowd Using Fine Grid Cellular Automata
论文作者
论文摘要
人群模拟模型用于评估人群系统的性能和安全性。在某些系统中，人群中存在轮椅和其他移动物体。轮椅的不同尺寸和速度可以显着改变人群的行为和动态。为了最大程度地减少人满为患和其他类型的事故的风险，正确对轮椅及其与行人和环境的互动进行建模非常重要。蜂窝自动机被广泛用于人群建模，因为它们的简单快速算法。细网格细胞自动机模型使用小单元，其中移动实体（行人，轮椅，汽车等）占据了几个细胞。实体可能具有不同的尺寸，形状和速度。在本文中，已经对细网格蜂窝自动机模型进行了修改，以允许构建具有不同尺寸和速度轮廓的轮椅比例不同的人群模拟模型。人行道的方案已用于评估模型。较慢的轮椅的降低效果在结果中适当地复制了，这也与经验数据相匹配。还将密度速度图与仅组成行人组成的人群进行了比较。
Crowd simulation models are used to assess the performance and safety of crowd systems. In some systems, wheelchairs and other moving objects are present in the crowd. The different size and speed of the wheelchairs could significantly change the behavior and dynamics of the crowd. In order to minimize the risks of overcrowding and other types of accidents, it is important to properly model the wheelchairs and their interactions with pedestrians and the environment. Cellular automata are extensively utilized in crowd modeling because of their simple and fast algorithms. Fine grid cellular automata model uses small cells in which moving entities (pedestrians, wheelchairs, cars and etc.) occupy several cells. The entities could have different sizes, shapes, and speeds. In this article, fine grid cellular automata model has been modified to allow building crowd simulation models with different ratios of wheelchairs that could be of different sizes and speed profiles. A scenario of a walkway has been used to evaluate the model. The slow down effect of the slower wheelchairs has been properly reproduced in the results which also match empirical data. Density-speed graphs are also compared to crowds comprising of only pedestrians.
