交通信息可信传输瓶颈是T-CPS系统中V2X通信急需解决的重要科学问题。信息传输中断、信息传输延时与丢包、信息传输冗余与虚假是影响T-CPS理想通信的主要信息传输瓶颈。项目将根据V2X通信环境下信息可信传输瓶颈问题，面向交通信息系统与交通物理系统的信息传输，从车人通信(V2P)、车路通信(V2I)、车车通信(V2V)和车网通信(V2N)四个方面探究不同信息可信传输瓶颈对T-CPS系统交通行为的影响。从“交叉口→关联路段→区域路网”三个阶次递进研究信息可信传输瓶颈在信息域与物理域的信息传输特征，提出信息可信传输瓶颈触发时的信息预测控制补偿算法，创建基于信息可信传输瓶颈的T-CPS协同控制模型和优化控制方法，搭建信息域与物理域的信息传输交互的仿真控制平台，并运用于队列协同行驶的优化控制。项目将结合信息控制区的交通环境对模型参数进行实证标定，为解决交通信号控制区的交通问题提供有效控制模式。

The bottleneck of trustworthy transmission of traffic information is an important scientific problem to be solved urgently under V2X communication in T-CPS system. Interruption of information transmission, delay and packet loss of information transmission, redundancy and falsity of information transmission are the main bottlenecks of information transmission affecting the ideal communication of T-CPS. According to the bottleneck problem of information trustworthy transmission under V2X communication environment, based on the information transmission between transportation cyber system and transportation physical system, the project will explore the impact of different information trustworthy transmission’s bottlenecks on the traffic behaviors of T-CPS system from four aspects including vehicle-to- pedestrian communication (V2P), vehicle-to-infrastructure communication (V2I), vehicle-to-vehicle communication (V2V) and vehicle-to-network communication (V2N). We will investigate the characteristics of information transmission bottlenecks between the information domain and the physical domain from three orders involving "intersection→associated section→regional road network", propose an information predictive control compensation algorithm when the information trustworthy transmission bottleneck is triggered, construct a T-CPS cooperative control model and optimal control method based on the information trustworthy transmission bottleneck and set up a simulation control platform based on the information transmission interaction between the information domain and physical domain, which will be applied to the optimal control of queue cooperative driving. The project will calibrate the model parameters by integrating the traffic environment of the information control area. Then, the effective control mode will be provided to solve the traffic problems at the traffic signal control area.