Taking into account three basic pedestrian behaviors, namely the position-exchange, lateral-move and step back, we proposed an improved cellular automaton model to simulated pedestrian counter flow with different velocities in subterranean channel. We compared cellular automaton model with Weng's model. By computer simulation, the improved model is proved to be more efficient. Moreover, pedestrians in the system tend to have higher mean velocity and lower occupancy density.