Acquisition of Local Neighbor Rules in the Simulation of Pedestrian Flow by Cellular Automata
Acquisition of Local Neighbor Rules in the Simulation of Pedestrian Flow by Cellular Automata
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DOI：
10.1007/978-3-540-30479-1_22
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发表时间：
2004-10
期刊：
影响因子：
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通讯作者：
K. Narimatsu;T. Shiraishi;S. Morishita
中科院分区：
文献类型：
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作者：
K. Narimatsu;T. Shiraishi;S. Morishita
采用元胞自动机对行人流进行建模，在模拟过程中自动确定对人群中每个人实施的局部邻居规则。在可见区域中引入了碰撞模式，每个人都可以避开碰撞模式。随着模拟沿着时间步长进行，观察到各种碰撞模式。通过将碰撞模式同时通知给所有行人，行人开始相当平稳地流动，并且观察到列形成。
Cellular Automata is applied to model the pedestrian flow, in which the local neighbor rules implemented to each person in the crowd are determined automatically in the process of simulation. The collision patterns in the visible area settled around each person is introduced, and each person walks around just avoiding the collision patterns. As the simulation proceeds along the time step, various collision patterns are observed. By being informed the collision patterns to all the pedestrians simultaneously, the pedestrian begins to flow quite smoothly and the column formation is observed.