title: Potential field cellular automata model for pedestrian flow.
abstract: This paper proposes a cellular automata model of pedestrian flow that defines a cost potential field, which takes into account the costs of travel time and discomfort, for a pedestrian to move to an empty neighboring cell. The formulation is based on a reconstruction of the density distribution and the underlying physics, including the rule for resolving conflicts, which is comparable to that in the floor field cellular automaton model. However, we assume that each pedestrian is familiar with the surroundings, thereby minimizing his or her instantaneous cost. This, in turn, helps reduce the randomness in selecting a target cell, which improves the existing cellular automata modelings, together with the computational efficiency. In the presence of two pedestrian groups, which are distinguished by their destinations, the cost distribution for each group is magnified due to the strong interaction between the two groups. As a typical phenomenon, the formation of lanes in the counter flow is reproduced.
authors.affiliation: Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, PR China. pzhang@mail.shu.edu.cn
authors.forename: Peng
authors.initials: P
authors.lastname: Zhang
authors.forename: Xiao-Xia
authors.initials: XX
authors.lastname: Jian
authors.forename: S C
authors.initials: SC
authors.lastname: Wong
authors.forename: Keechoo
authors.initials: K
authors.lastname: Choi
mesh_terms: D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D011157:Population Dynamics; D012212:Rheology / Q000379:methods*; D016138:Walking / Q000502:physiology*