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Traffic wave model based on vehicle-infrastructure cooperative and vehicle communication data

机译:基于车辆基础设施协同和车辆通信数据的交通波模型

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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.
机译:城市行李箱道路系统承担主要的交通旅行,在高峰时段经常发生拥堵。为了清楚地描述信号交叉口中的交通波的传播过程,然后优化相位差。本文提出了基于汽车跟踪物理机制的交通波的运动模型,以及业务波传播的运动特性。实际的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。然后我们获得了停止和启动波速度的值。与测量数据相比,结果表明,计算流浪模型的波速的计算具有高达5%的相对误差,从而确认了模型的有效性。通过对模型的分析,我们得到了对车速的交通波速度和空间前进的影响差异。我们的调查结果为城市中继线交通和相差优化的信号交叉口的协调控制和管理提供了理论依据。同时,研究结果还为缓慢时间减轻交通拥堵提供了理论依据。

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