A Framework for Self-Enforced Optimal Interaction Between Connected Vehicles

This paper proposes a decision-making framework for Connected Autonomous Vehicle interactions. It provides and justifies algorithms strategic selection of control references cruising, platooning overtaking. The algorithm is based on the trade-off between energy consumption time. consequent cooperation opportunities originating from agent heterogeneity are captured by game-theoretic cooperative-competitive solution concept to provide computationally feasible, self-enforced, cooperative traffic management framework.