In the near future, transportation systems will includeboth autonomous vehicles and human-operated vehicles sharing thesame traffic conditions. Human drivers may have difficulties in predictingthe actions of autonomous vehicles, and the latter will facechallenges due to complex decision-making algorithms and dynamicenvironments. The lack of standardized communication between autonomousvehicles and human drivers complicates safe decisionmaking.This paper proposes a centralized generative AI-based advisoryframework to enhance human driving skills in mixed-autonomytraffic, and also to improve the autonomous vehicles in a Human-AIteaming fashion. The framework includes visual aids, explanations,and a virtual reality environment for testing and training.