两种驾驶方式构成的异质交通流稳定性研究

Stability Analysis of the Heterogeneous Traffic Flow Mixed by Two Driving Styles

对由两种驾驶方式组成的单车道异质交通流的稳定性进行分析和研究.利用实际数据对两种驾驶方式对应的最优行驶速度车辆跟驰模型及智能驾驶员车辆跟驰模型进行参数标定,使用线性稳定性分析方法获得了异质交通流的稳定性条件,并定义了异质交通流的稳定性函数和驾驶方式的稳定性函数,在此基础上进行了仿真实验.研究结果表明异质交通流的稳定性受两个关键因素的影响:驾驶方式在交通流中的比例和驾驶方式的稳定性函数.仿真发现智能驾驶员的驾驶方式比最优行驶速度的驾驶方式具有更好的稳定性.此外,还获得了在不同的速度下,有关不同驾驶方式比例的稳定性变化曲线.

The stability of the heterogeneous traffic flow mixed by two driving styles was studied.The corresponding car-following models of the two driving styles,the optimal velocity car-following model and the intelligent driver car-following model,were calibrated first using the real traffic data.The stability of the heterogeneous traffic flow was derived,based which the stability functions of the traffic flow and the driving style were defined.The simulations were conducted to analyze the stability condition.The results show that the stability of the heterogeneous traffic flow is impacted by the two factors：the proportion of the driving style and the stability function of the driving style.The simulation results showed that the intelligent driver driving style always has better stability effect than the optimal velocity driving style.In addition,the neutral stability lines with respect to the proportions of the two driving styles are obtained under the rage of the whole feasible velocity.The results provide the theoretical supports for the control of the heterogeneous traffic flow stability and the traffic congestion.