Cellular automaton simulation of pedestrian counter flow with different walk velocities.
Cellular automaton simulation of pedestrian counter flow with different walk velocities.
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DOI：
10.1103/physreve.74.036102
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发表时间：
2006-09
期刊：
影响因子：
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通讯作者：
Wenguo Weng;Tao Chen;H. Yuan;Weicheng Fan
中科院分区：
文献类型：
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作者：
Wenguo Weng;Tao Chen;H. Yuan;Weicheng Fan
本文提出了一种无后退的行人动力学元胞自动机模型，该模型考虑了人的行为，可以在一些复杂的情况下做出判断。该模型通过在不同的时间步长进行更新，可以模拟不同步行速度下的行人运动。考虑了行人逆流的两种边界条件：周期边界和开边界，并讨论了它们的动力学特性。模拟结果表明，在周期边界条件下，在一定的总密度范围内，行人模式存在三个阶段，即自由移动阶段、车道形成阶段和完全停车阶段。在车道形成阶段，通过狭窄的人行道可以发现行人超过步行速度较低的人的现象。在开放边界条件下，在一定的入口密度下，行人模式存在两种稳态，但第一种是亚稳态。自发涨落可以打破第一个稳态，即自由运动阶段，进入第二个稳态，即完全停止阶段。
This paper presents a cellular automaton model without step back for pedestrian dynamics considering the human behaviors which can make judgments in some complex situations. This model can simulate pedestrian movement with different walk velocities through update at different time-step intervals. Two kinds of boundary conditions including periodic and open boundary for pedestrian counter flow are considered, and their dynamical characteristics are discussed. Simulation results show that for periodic boundary condition there are three phases of pedestrian patterns, i.e., freely moving phase, lane formation phase, and perfectly stopped phase at some certain total density ranges. In the stage of lane formation, the phenomenon that pedestrians exceed those with lower walk velocity through a narrow walkway can be found. For open boundary condition, at some certain entrance densities, there are two steady states of pedestrian patterns; but the first is metastable. Spontaneous fluctuations can break the first steady state, i.e., freely moving phase, and run into the second steady state, i.e., perfectly stopped phase.