Abstract
In this paper, human subconscious behavior in pedestrian counterflow is investigated under open boundary conditions by using an extended lattice gas model with different maximum velocities. Four types of walkers are distinguished in the model and their dynamical characteristics are discussed. The simulation results show that the model can capture some essential features of pedestrian counterflows, such as lane formation, segregation effects and phase separation at higher densities. By analyzing the obtained phase diagram it is found that subconscious behavior plays a key role in reducing the occurrence of jam clusters in comparison to the case of un-subconscious behavior.
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