In this talk, game theoretic decision-making strategy for connected and automated vehicles (CAVs) that communicate each other is discussed. First, by exploiting vehicle communication systems, the optimal decision-making algorithm of the CAV considering the traffic flows ahead is proposed, which takes the hierarchical structure. Secondly, considering multiple vehicle interactions, the cooperative driving between CAVs in mixed traffic is discussed, which aims to formulate the optimal vehicle formulation in highway.