Combining artificial intelligence (AI) with Large Language Models (LLMs) will transform transportation. This unique blend will revolutionize mobility by changing how we perceive, utilize, and manage transportation networks. This abstract preview the entire research on this life-changing journey. It explains the problem, summarizes the techniques, presents the major findings, and concludes. The first half discusses how transportation is evolving swiftly and how major issues require innovative solutions. It discusses how LLMs, and AI might improve transportation for people, efficiency, and the environment. It emphasizes the importance of enhanced user experiences, self-driving cars, real-time traffic control, and data-driven transportation innovations. In methods, we examine the technological concepts that enable this shift. It emphasizes how large language models simplify human-car communication. Tourists can easily communicate with self-driving cars, traffic control, and public transit. It is possible to cut down on accidents and travel time by 30%. Real-time traffic forecasts inform people and systems, reducing traffic by 20%. These enhancements will reduce pollution by 25% and improve citywide public transit and traffic control. These innovations make commuting safer, cheaper, and greener over time, according to statistics. Finally, the event proves that LLMs and AI can collaborate in real life. It discusses the merits and downsides of this transformation, emphasizing data privacy, security, and infrastructure strengthening. LLMs and AI will make future transportation connected, simple, and eco-friendly. This requires concentration and strategy.