Generative Models and Connected and Automated Vehicles: A Survey in
  Exploring the Intersection of Transportation and AI
Dong Shu Zhouyao Zhu
This report investigates the history and impact of Generative Models and
Connected and Automated Vehicles (CAVs), two groundbreaking forces pushing
progress in technology and transportation. By focusing on the application of
generative models within the context of CAVs, the study aims to unravel how
this integration could enhance predictive modeling, simulation accuracy, and
decision-making processes in autonomous vehicles. This thesis discusses the
benefits and challenges of integrating generative models and CAV technology in
transportation. It aims to highlight the progress made, the remaining
obstacles, and the potential for advancements in safety and innovation.