Cooperative multi-agent model for collision avoidance applied to air traffic management

Augustin Degas, Elsy Kaddoum, Marie-Pierre Gleizes, Françoise Adreit, Arcady Rantrua

Abstract: Highlights•A novel multi-agent module for collision avoidance (CAAMAS) is proposed.•CAAMAS is based on cooperative self-adaptive multi-agents systems.•CAAMAS proposes a decentralized approach where each agent decides locally which action to perform.•CAAMAS is compared to CSORCA main state-of-the-art solving method in air traffic management.•A sensitivity analysis shows the robustness of CAAMAS regarding the usage of some parameters of the domain