论文标题
使用细网格蜂窝自动机对行人运动的模拟
Simulation of Pedestrian Movements on Slope Using Fine Grid Cellular Automata
论文作者
论文摘要
细胞自动人群仿真模型已被广泛用于确定拥挤结构的性能和安全性。在常规的细胞自动机系统中，所有细胞均为典型行人的大小。行人的自由流速约为13m/s，常规CA型号中单元格的典型尺寸约为45厘米。为了维持运动速度的上限，在模拟中，行人应在每秒移动0、1、2或3个单元格。这些有限的速度值对行人模拟速度的准确性构成了限制。行人在斜坡上的行动速度取决于斜坡的天使。常规的CA限制不能准确模拟具有不同天使的斜坡上的行人运动。细网格细胞自动机模型使用较小的细胞（例如5cm或更小）。因此，该模型允许更多可能的速度值。在本文中，细网格细胞自动机模型用于模拟和模拟行人在斜坡上的运动。人行道方案用于评估模型。
Cellular automata crowd simulation models have been extensively used to determine the performance and the safety of crowded structures. In conventional cellular automata systems, all the cells are of the size of a typical pedestrian. The free flow speed of a pedestrian is around 1.3m/s, and the typical size of a cell in conventional CA models is around 45cm. In order to maintain the upper boundary of movement speed, pedestrians should move 0, 1, 2 or 3 cells at each second in the simulation. These limited number of speed values pose a limitation on the accuracy of the simulated speed of pedestrians. Movement speed of pedestrians on a slope depends on the angel of the slope. The conventional CA limitations do not allow accurate simulation of pedestrian movements on slopes with different angels. Fine grid cellular automata model uses much smaller cells (e.g. 5cm or smaller). The model therefore allows much more possible speed values. In this article, fine grid cellular automata model is used to model and simulate the movements of pedestrians on a slope. A walkway scenario is used for the evaluation of the model.
