Urban trunk road system undertakes the main traffic trip, and congestion occurs frequently in rush hours. In order to clearly describe the propagation process of traffic waves in signalized intersections, and then optimize phase difference. This article proposes a kinematic model for the traffic wave based on the physical mechanism of car‐following and the kinematic characteristics of the traffic wave propagation. The actual road traffic monitoring data was extracted from the vehicle‐infrastructure cooperative system and vehicle internal communication system. Then we obtained the values of the stop‐and‐start wave velocity. Compared with the measured data, the results showed that the calculation of the wave velocity of the traffic wave model had a relative error of up to 5% vs the measured data, confirming the validity of the model. Through the analysis of the model, we obtained the difference in the effects on traffic wave velocity of the vehicle speed and the space headway. Our findings provide a theoretical basis for coordinated control and management of urban trunk road traffic and phase difference optimization of signalized intersections. Meanwhile, the research results also provide a theoretical basis for alleviating traffic congestion during the rush hour.

中文翻译：

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基于车基协同和车辆通信数据的交通波模型

城市主干道路系统承担主要交通出行，高峰时段拥堵频发。为了清楚地描述交通波在信号交叉口的传播过程，进而优化相位差。本文基于跟驰的物理机制和交通波传播的运动学特性，提出了交通波的运动学模型。实际道路交通监测数据是从车辆基础设施协同系统和车辆内部通信系统中提取的。然后我们得到了起止波速的值。与实测数据对比，结果表明交通波模型的波速计算与实测数据的相对误差高达5%，证实了模型的有效性。通过对模型的分析，我们得到了车速和车头时距对交通波速的影响差异。研究结果为城​​市主干道路交通的协调控制和管理以及信号交叉口的相位差优化提供了理论依据。同时，研究结果也为缓解高峰时段交通拥堵提供了理论依据。