5G环境下车联网跟驰模型

Car-following model for vehicles network in 5G environment

针对现有跟驰模型的不足,提出一种5G环境下车联网实时稳定(current time stabilization,CTS)模型。该跟驰模型首先考虑了网络时延的时变性对跟驰模型的影响,其次考虑了由网络时延带来的对车辆实时速度、加速度、驾驶员反应时间的影响,从而保证CTS模型更符合实际驾驶情况。从理论上推导出跟驰模型的临界稳定性条件。仿真结果表明,当网络时延不同时,随着网络时延的降低,CTS模型的稳定性不断升高;在相同扰动下,CTS模型比传统优化速度(optimal velocity,OV)跟驰模型的稳定性提高了32.5%。

This paper proposed a 5G environment-based current time stabilization(CTS)model,in order to figure out shortcomings of the existing car-following models.Firstly,this car-following model considered the influence of the time variability of the network delay on the car-following model,and secondly considered the effects of the network delay on the real-time speed,acceleration,and driver response time of the vehicle to ensure that the CTS model was more in line with actual driving conditions.It derived the critical stability conditions of the car-following model theoretically.The simulation results show that when the network delays are different,the stability of the CTS model increases continuously with the decrease of the network delay;under the same disturbance,the stability of the CTS model is improved by 32.5%compared with the traditional optimal velocity follow-up model.