Stability analysis of lead-vehicle control model in cooperative adaptive cruise control platoon within heterogeneous traffic flow

混合交通流中协同式自适应车组引导车控制模型稳定性分析（英文）

In order to analyze the stability impact of cooperative adaptive cruise control （CACC） platoon, an adaptive control model designed for the lead vehicle in a CACC platoon （LCACC model） in heterogeneous traffic flow with both CACC and manual vehicles is proposed. Considering the communication delay of a CACC platoon, a frequency-domain approach is taken to analyze the stability conditions of the novel lead-vehicle CACC model. Field trajectory data from the next-generation simulation （NGSIM） data is used as the initial condition. To account for car- following behaviors in reality, an intelligent driver model （IDM） is calibrated with the same NGSIM dataset from a previous study to model manual vehicles. The stability conditions of the proposed model are validated by the ring- road stability analysis. The ring-road test results indicate the potential of the LCACC model for improving the traffic flow stability impact of CACC platoons. Sensitivity analysis shows that the CACC fleet size has impact on the parameters of the LCACC model.

为了分析协同式自适应巡航控制(CACC)车组的稳定性影响,构建了混合交通流条件下协同式自适应巡航控制车辆组引导车模型(LCACC).考虑协同式自适应控制车组间的信息交互延误,采用频域变换的方法来推理引导车模型的稳定性边界条件.将美国NGSIM数据库轨迹数据作为初始输入,根据先前研究成果,采用IDM模型模拟混合交通流中人工驾驶车辆的驾驶行为,运用环道测试的方法来验证引导车模型的稳定性.环道测试结果表明,LCACC模型在改善协同式自适应车组的稳定性方面有一定的优越性,敏感性分析显示CACC车组的大小对LCACC模型参数产生影响.