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In this article, we propose a traffic rule inspired from nature, thatfacilitates an elite agent to move efficiently through a crowd of inert agents.When an object swims in a fluid medium or an intruder is forced throughgranular matter, characteristic flow-fields are created around them. We showthat if inert agents, made small movements based on a traffic rule derived fromthese characteristic flow-fields, they efficiently reorganize and transportenough space for the elite to pass through. The traffic rule used in thearticle is a dipole-field which satisfactorily captures the features of theflow-fields around a moving intruder. We study the effectiveness of this dipoletraffic rule using numerical simulations in a 2D periodic domain, where oneself-propelled elite agent tries to move through a crowd of inert agents thatprefer to stay in a state of rest. Simulations are carried out for a wide rangeof strengths of the traffic rule and packing density of the crowd. Wecharacterize and analyze four regions in the parameter space, free-flow, motiondue to cooperation, frozen and collective drift regions, and discuss theconsequence of the traffic rule in light of the collective behavior observed.We believe that the proposed method can be of use in a swarm of robots workingin constrained environments.

Moving efficiently through a crowd: a nature inspired traffic rule