多模式交通已经成为我国城市交通系统的基本特征。基于此，本项目拟针对由道路交通、城市轨道交通和慢行交通等多种交通模式构成的复杂交通系统，基于多源异构的交通系统数据，研究不同模式交通流状态之间的相互关联特性及迁移规律，研究常态与特殊条件下多模式交通流状态感知与辨识，实现常发与偶发交通瓶颈的识别；在深入研究不同交通模式耦合与衔接机制的基础上，构建基于多时空尺度刻画的多模式复合网络交通流的动态演化模型体系，揭示多模式复合网络交通流的运行特性与演化规律；提出城市多模式复合网络交通流的协同管控策略，为保障城市交通系统的高效、绿色和安全运行提供支撑。项目的实施能够推进多模式交通流理论的发展与应用，从而完善交通流的理论体系，具有重要的理论价值与实际意义。

Multi-mode traffic has become the basic characteristic of urban traffic system in China. On the basis, this project aims at the complex traffic system composed of road traffic, urban rail transit and slow traffic modes. Based on multi-source and heterogeneous traffic system data, it studies the interrelated characteristics and migration rules of traffic flow states in different modes, studies the perception and identification of multi-mode traffic flow states under normal and special conditions, and realizes frequent and occasional traffic bottlenecks. On the basis of in-depth study of the coupling and cohesion mechanism of different traffic modes, this project attempts to develop dynamic evolution models for multi-mode network traffic flow in multi-temporal scales, and then to reveal the characteristics and evolution law of multi-mode network traffic flow. Finally, collaborative management and control strategies for urban multi-mode network traffic flow will be proposed to ensure the efficient, green and safe operation of the urban traffic system. The implementation of the project can promote the development and application of multi-mode traffic flow theory, thus improving the theoretical system of traffic flow, which has important theoretical values and practical significance.