This paper explored the impacts of vehicle-to-infrastructure (V2I) communication on the mixed traffic flow consisting of connected vehicles (CVs) and human-driven vehicles (HVs). We developed a cellular automaton model for mixed flow at the signalized intersection. In addition to considering the motion characteristics of CVs and the influence of HVs on the motion behavior of CVs, the model also considered the influence of signal lights. CVs determine their velocities via V2I communication in order to pass the signal light with less delay and avoid stopping. Through simulations, we found that the presence, frequency and range of V2I communication all make a difference in the mixed flow. Also, 1-Hz communication reduces the number of vehicles within 300 m before the red light from 36 to 26, and the 10-Hz communication reduces one more; 1-Hz communication increases the number of accelerations, but when the frequency increases to 10 Hz, the number of accelerations decreases to the same value as without V2I communication, but the value of number of accelerations increases monotonously with the frequency; traffic delay decreases and capacity increases as the frequency increases. However, as the communication range increases, except that the number of accelerations first decreases and then increases, other traffic characteristics remain unchanged. The number of accelerations reaches a minimum at about 500 m.

本文探讨了车辆到基础设施（V2I）通信对由连接的车辆（CV）和人力驱动的车辆（HV）组成的混合交通流的影响。我们为信号交叉口的混合流开发了元胞自动机模型。除了考虑CV的运动特性以及HV对CV的运动行为的影响之外，该模型还考虑了信号灯的影响。CV通过V2I通信确定其速度，以便使信号光以较小的延迟通过并避免停止。通过仿真，我们发现V2I通信的存在，频率和范围都对混合流产生了影响。同样，在1 Hz通信中，在红灯之前300 m内的车辆数量从36个减少到26个，而10 Hz通信则减少了一个。1-Hz通讯增加了加速次数，但是当频率增加到10 Hz时，加速次数减少到与不使用V2I通讯时相同的值，但是加速次数随频率单调增加。随着频率的增加，流量延迟减少，容量增加。但是，随着通信范围的增加，除了加速度的数量先减少然后增加之外，其他流量特性保持不变。加速度的数量在约500 m处达到最小值。随着频率的增加，流量延迟减少，容量增加。但是，随着通信范围的增加，除了加速度的数量先减少然后增加之外，其他流量特性保持不变。加速度的数量在约500 m处达到最小值。随着频率的增加，流量延迟减少，容量增加。但是，随着通信范围的增加，除了加速度的数量先减少然后增加之外，其他流量特性保持不变。加速度的数量在约500 m处达到最小值。