title: Promoting collective motion of self-propelled agents by distance-based influence.
abstract: We propose a dynamic model for a system consisting of self-propelled agents in which the influence of an agent on another agent is weighted by geographical distance. A parameter α is introduced to adjust the influence: The smaller value of α means that the closer neighbors have a stronger influence on the moving direction. We find that there exists an optimal value of α leading to the highest degree of direction consensus. The value of optimal α increases as the system size increases, while it decreases as the absolute velocity, the sensing radius, and the noise amplitude increase.
authors.affiliation: Department of Physics, Fuzhou University, Fuzhou 350108, China.
authors.forename: Han-Xin
authors.initials: HX
authors.lastname: Yang
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Zhou
authors.affiliation: Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou, Gansu 730000, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Huang
mesh_terms: D000818:Animals; D003198:Computer Simulation; D003299:Cooperative Behavior; D003441:Crowding; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D009068:Movement / Q000502:physiology*; D065854:Spatial Navigation / Q000502:physiology*