在大模型背景下的交通数据科学前沿论坛中，我们将探讨大模型、交通大数据及人工智能在优化交通系统管理与运营中的应用。此次论坛汇集了领域内的专家学者与实践者，重点讨论大型语言模型（LLM）和其他高级计算模型在交通流量分析、事故预测及城市交通规划中的具体应用。参与者将了解如何从庞大的数据中提取洞察，利用人工智能进行实时交通管理和数据驱动的决策，展示这些技术如何提高交通安全性和效率，推动现代交通系统的发展。

At the Frontier Forum on Traffic Data Science in the Context of Large Models, we will explore the applications of large models, big traffic data, and artificial intelligence in optimizing the management and operation of transportation systems. This forum brings together experts and practitioners to discuss the specific applications of large language models (LLMs) and other advanced computational models in traffic flow analysis, accident prediction, and urban traffic planning. Participants will learn how to extract insights from vast data, utilize AI for real-time traffic management, and data-driven decision-making, demonstrating how these technologies enhance traffic safety and efficiency, and advance the development of modern transportation systems.

议程1：会议背景及议题介绍
议程2：交通大模型应用

Agenda 1: Background and Introduction of the Conference Topics
Agenda 2: Applications of Large Models in Traffic