Application of Reactive Multi-agent System to Vehicle Collision Avoidance

Vehicle collision avoidance is a promising safety approach to new transportation systems, with innovative capabilities, such as obstacle detection, vehicle collision avoidance control strategy and adaptability to different obstacles. This paper presents a Reactive Multi-agent solution to the vehicle collision avoidance control problem with a linear configuration. In our case, vehicle collision avoidance is designed as a reactive multi-agent system in which agents interact with other agents and the obstacles situated in the environment by using physics inspired behaviors. Collision avoidance stability emerges as a global result of the individual interacted agents. Vehicle avoidance control strategy stems from calculating the trajectories of the vehicle based on the decision process of the reactive multi-agent system. Furthermore, the adaptation to different kind of obstacles is made by tuning model´s physical parameters. In order to assert the transition from abstract to concrete, simulations experiments have been implemented and simulations results are analyzed.