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.

中文翻译：

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车对基础设施通信对混合连接车辆和人工驾驶车辆交通流的影响

本文探讨了车辆到基础设施 (V2I) 通信对由联网车辆 (CV) 和人工驾驶车辆 (HV) 组成的混合交通流的影响。我们开发了信号交叉口混合流的元胞自动机模型。该模型除了考虑 CV 的运动特性和 HV 对 CV 运动行为的影响外，还考虑了信号灯的影响。CV 通过 V2I 通信确定其速度，以便以更少的延迟通过信号光并避免停止。通过仿真，我们发现 V2I 通信的存在、频率和范围都会对混合流产生影响。并且，1Hz通信将红灯前300m内的车辆数量从36辆减少到26辆，10Hz通信又减少了1辆；1-Hz通信增加了加速次数，但当频率增加到10Hz时，加速次数减少到与没有V2I通信时相同的值，但加速次数值随频率单调增加；随着频率的增加，交通延迟减少，容量增加。但随着通信范围的增加，除了加速次数先减少后增加外，其他流量特性保持不变。加速次数在大约 500 m 处达到最小值。随着频率的增加，交通延迟减少，容量增加。但随着通信范围的增加，除了加速次数先减少后增加外，其他流量特性保持不变。加速次数在大约 500 m 处达到最小值。随着频率的增加，交通延迟减少，容量增加。但随着通信范围的增加，除了加速次数先减少后增加外，其他流量特性保持不变。加速次数在大约 500 m 处达到最小值。