Fuzzy logic control for shared-autonomy in automotive swarm environment

The need for greater capacity in automotive transportation (in the midst of constrained resources) and the convergence of key technologies from multiple domains may eventually produce the emergence of a "swarm" concept of operations. The swarm, a collection of vehicles traveling at high speeds and in close proximity, will require management techniques to ensure safe, efficient, and reliable vehicle interactions. We propose a shared-autonomy approach in which the strengths of both human drivers and machines are employed in concert for this management. Inspired by prior research, a fuzzy logic-based control implementation is developed and described in this paper for the purpose of exploring the shared-autonomy concept.