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.

翻译：本报告探讨了生成式模型与网联自动驾驶车辆（CAVs）这两股推动技术进步与交通革新的关键力量的发展历程及其影响。研究聚焦于生成式模型在CAV场景中的应用，旨在阐明该集成如何提升自动驾驶车辆的预测建模能力、仿真精度及决策过程。本文论述了将生成式模型与CAV技术融入交通系统所带来的优势与挑战，重点梳理了已有进展、现存障碍以及安全性与创新性方面的潜在突破空间。