瓶颈低速区是交通拥挤的根源。道路条件信息、道路交通流数据信息及道路事件信息是影响瓶颈低速区的主要交通信息。本项目根据我国特殊的交通信息对瓶颈低速区交通流作用特征，基于面向交通信息物理系统(T-CPS)，考虑V2X环境下，通过车车通信、车路通信和车人通信三个角度观测交通信息对瓶颈低速区的影响。从瓶颈低速区交通信息获取、交通信息辨识及交通信息处理算法三个方面实现交通信息物理的深度融合，建立瓶颈低速区协同反馈控制模型和反馈控制模式，搭建交通瓶颈低速区虚拟仿真实验平台。深入挖掘瓶颈低速区协同反馈控制方法对交通流量、速度、密度的影响。模拟并分析人-车-路-信息交互与物理系统深度融合作用下瓶颈低速区交通拥堵的形成、演化及传播规律。项目将结合实测数据标定模型参数，并据此分析瓶颈低速区的交通行为与交通拥堵之间的内在关系，为解决（或缓解）和预防交通瓶颈拥堵提供有效的控制策略。

The low speed region of the bottleneck is the fundamental origin of traffic congestion. There are effects of main traffic information on the low speed region of the bottleneck for the road condition information, traffic flow data information and the road incident information. According to interaction characteristics of special traffic information at the low speed region of the bottlenecks in China, based on transportation cyber physical systems (T-CPS), under the V2X surroundings, we will investigate the influence of traffic information on the low speed region of the bottlenecks through three angles involving vehicle-vehicle communication, vehicle-road communication and vehicle-pedestrian communication. We will achieve the deep integration of transportation cyber physical resulted from three aspects including traffic information obtained, traffic information identified and traffic information processing algorithm, construct a cooperative feedback control model and mode on the low speed region of the bottlenecks and set up a simulation experiment platform of the low speed region of the bottlenecks. Also, we will explore the impact of cooperative feedback control method on the low speed region of the bottlenecks on traffic flux, speed and density. Furthermore, the law of congestions formation, evolution and propagation on the low speed region of the bottlenecks will be simulated and analyzed under the deep integration between pedestrian-vehicle-road-information interaction and physical system. The project will be combined with the actual surveyed data to calibrate the parameters of traffic model. According to the calibrated parameters, we will analyze the intrinsic relationship between the traffic behaviors and traffic congestion on the low speed region of the bottlenecks. Then the effective control strategies will be provided to solve (or relieve) and prevent the congestion on the low speed region of the traffic bottlenecks.