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In this work we introduce a reactive agent-based model for convergence of autonomous vehicles to parallel formations heading to predefined directions of motion. They interact via rules of repulsion, alignment and attraction. There is also an abstraction of the desired path of motion, represented by a virtual guiding vehicle, which shows the desired direction to be followed by the formation. We performed simulations with different combinations of interaction rules and studied the parameter space. Additionally, we simulate the occurrence of communication failure among agents and the presence of noise. The resulting formations are evaluated by

Reactive Agent-based Model for Convergence of Autonomous Vehicles to Parallel Formations Heading to Predefined Directions of Motion