在近信号控制区借助车辆速度引导，进而实现车路和车车协同，既利于解决困惑区（Dilemma Zone）问题，又利于提高通行效率。随着V2X的兴起，掌握在该环境下车辆行驶的内在机制，是保障行驶安全和优化通行效率的基础。.事实上，V2X环境下近信号控制区的车辆行驶过程，是复杂离散信息作用下的连续动态物理过程，具有信息物理融合系统的典型特征，现有研究尚未揭示其信息因素及其与物理因素复杂交互的作用机理。为此，本课题以信息物理融合视角和离散连续混成建模为切入点，依据提升通行效率、降低能耗的需求，建立单车及前后多车协同行驶的信息物理融合模型，阐明车辆协同行驶信息物理融合机理，进而研究在不确定环境下模型的稳定性及鲁棒性，探明车辆协同行驶过程的适应条件。.研究成果将形成揭示V2X环境下近信号控制区车辆行驶机制的新理论，既为信号交叉口的通行优化设计提供科学支撑，也为信息物理融合建模这一挑战性问题提供新的探索。

By means of vehicle speed guidance in the adjacent area of traffic signal control, the cooperation of vehicle to infrastructure and vehicle to vehicle can not only solve the problem of Dilemma Zone, but also enhance traffic efficiency. With the development of V2X, to understand the inherent mechanism of vehicle driving under V2X is the basis for enhancing driving safety and optimizing traffic efficiency..In fact, the vehicle driving process in the adjacent area of traffic signal control is a continuous dynamic physical process to be enslaved to complex and diverse discrete information, and is with the typical characteristics of Cyber Physical systems (CPS). In the results of existing research, the mechanism of the role of information and its complex interaction with the physical factors is not yet revealed. For this reason, this project proposes to take the perspective of CPS and hybrid modeling of discrete-continuous system as a breakthrough point, and intends to develop the cyber-physical cooperative driving models of the single vehicle and the multi-vehicle in front or behind with the consideration of traffic efficiency and energy consumption. It is expected to clarify the cyber physical fusion mechanism of vehicle driving in the adjacent area of traffic signal control under V2X. Then the stability and robustness of those models are investigated in the uncertain environment, to verify the corresponding adaptive conditions for multi-vehicle cooperative driving..It is expected that the research results will put forth a new theory to describe the mechanism of vehicle driving in the adjacent area of traffic signal control under V2X. It will not only provide scientific support for the traffic optimization design of signal intersection, but also afford some new exploration for the technical challenges of cyber physical fusion modeling.