交通数智化时代背景下，交通行为分析与建模研究日益受到关注随着技术的不断进步，交通数智化将成为提升交通效率、优化交通管理的重要手段。需要注重数据的准确性和实时性，以揭示交通行为的内在规律和特征。同时，在构建交通行为模型时，需要综合考虑多种因素，如交通环境、个体差异等，以提高模型的预测精度和适用性。本次研讨会将就交通大数据采集与处理、交通行为特征识别与分析、以及交通行为模型的构建与优化等核心议题进行深入的探讨，并加强跨学科合作、推动合作创新研究。通过本次研讨会的交流与学习，预期有力将推动交通数智化领域的发展，为构建安全、高效、绿色的交通系统提供有力支撑。

Traffic Behaviour Analysis and Modelling Research Gains Increasing Attention in the Era of Traffic Numerical Intelligence With the continuous advancement of technology, traffic numerical intelligence will become an important means to improve traffic efficiency and optimize traffic management. It is necessary to focus on the accuracy and real-time nature of the data to reveal the intrinsic laws and characteristics of traffic behaviour. At the same time, when constructing traffic behaviour models, it is necessary to comprehensively consider a variety of factors, such as the traffic environment, individual differences, etc., in order to improve the prediction accuracy and applicability of the models. This workshop will have an in-depth discussion on the core topics of traffic big data acquisition and processing, traffic behaviour feature recognition and analysis, as well as the construction and optimization of traffic behaviour models, and strengthen interdisciplinary cooperation and promote collaborative and innovative research. It is expected that the exchanges and learning from this workshop will strongly promote the development of the field of traffic digital intelligence, and provide strong support for the construction of a safe, efficient and green transport system.

 议程1：主持人致辞与委员介绍及会议议程介绍 议程2：会议主题讨论 1. 钟绍鹏教授做交流 2. 李海舰教授做交流 3. 刘莎莎教授做交流 4. 丁川教授做交流 议程3：圆桌研讨 议程4：结束辞

 Agenda 1: Address by the Moderator and Introduction of Members and Agenda of the Meeting Agenda 2: Theme Discussion1. Presentation by Prof Zhong Shaopeng 2. Presentation by Prof Li Haijian 3. Presentation by Prof Liu Shasha 4. Presentation by Prof Ding Chuan Agenda 3: Roundtable Discussion Agenda 4: Closing Remarks