Towards Biologically Inspired Decentralized Platooning for Autonomous Vehicles

Abstract

In this paper, we introduce a novel decentralized approach to automated vehicle platooning inspired by emergent-behavior commonly found in biological systems. The proposed emergent-behavior based platooning uses simple rules that the vehicles follow when they interact to carry out maneuvers. Platooning maneuvers such as join, exit, and lane change "emerge" as a result of vehicles following these "emergent rules". Preliminary complexity analysis as well as simulation experiments yield promising results that demonstrate emergent behavior platooning as a viable form of decentralized platooning.