Consensus of self-driven agents with avoidance of collisions

Peng, Liqian; Zhao, Yang; Tian, Baomei; Zhang, Jue; Wang, Bing-Hong; Zhang, Hai-Tao; Zhou, Tao

doi:10.1103/PhysRevE.79.026113

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Journal article

Consensus of self-driven agents with avoidance of collisions

Peng, Liqian Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
Zhao, Yang Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
Tian, Baomei Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
Zhang, Jue Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
Wang, Bing-Hong Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China - Research Center for Complex System Science, University of Shanghai for Science and Technology, China
Zhang, Hai-Tao Department of Control Science and Technology, Huazhong University of Science and Technology, Wuhan, China - Department of Engineering, University of Cambridge, UK
Zhou, Tao Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China - Research Center for Complex System Science, University of Shanghai for Science and Technology, China - Department of Physics, University of Fribourg, Switzerland

27.02.2009

Published in:

Physical Review E. - 2009, vol. 79, no. 2, p. 026113

English In recent years, many efforts have been addressed on collision avoidance of collectively moving agents. In this paper, we propose a modified version of the Vicsek model with adaptive speed, which can guarantee the absence of collisions. However, this strategy leads to an aggregated state with slowly moving agents. We therefore further add a certain repulsion, which results in both faster consensus and longer safe distance among agents, and thus provides a powerful mechanism for collective motions in biological and technological multiagent systems.

Faculty

Faculté des sciences et de médecine

Department

Département de Physique

Language