Cellular automaton simulation of pedestrian counter flow considering the surrounding environment.

This paper presents a cellular automaton model without step back to simulate the pedestrian counter flow in a channel. The consideration of the surrounding environment when people make judgments on moving directions is added to a random walker model also without step back. Two types of walkers: the right walkers going to the right and the left walkers going to the left are taken into account. The characteristics of counterflow are clarified. Influences of the different interaction radius values and system sizes on movement are studied. Phase transition from free moving to jamming is observed with the increase of entrance density. It is found that the critical entrance density pc at the transition point does not depend on the system size when the interaction radius value is large. Simulation results are represented as a comparison with the random walker model.