智能交通环境下车辆群体速度优化控制方法研究

Research on Speed Optimization Control for a Group of Vehicles Under Intelligent Transportation System Environments

为降低智能交通系统中车辆的能量消耗,该研究以智能网联汽车为研究对象,提出了一种车辆速度优化控制方法。该方法以车辆的能量消耗模型为依据,综合考虑了其他车辆以及交通信号灯配时对车速的影响。通过瞬时优化算法实时计算出经济车速,从而降低车辆的能量消耗并减少车辆的信号灯等待时间。为验证其有效性,该研究提出了3种基准测试方法,并在Vissim/Autonomie联合仿真平台上对几种方法进行了比较。结果显示,该方法分别实现了14.32%、9.74%和73.72%的能耗降低。

This paper proposes an optimal speed controlling method to reduce the energy consumption of connected and automated vehicles(CAVs). The proposed method considers not only the surrounding vehicles but also the signal phase and timing(SPAT) information. By determining the economic speed for each vehicle in real time based on the instantaneous optimization, energy consumption and signal waiting time of each vehicle can be reduced. To evaluate feasibility of the proposed method, three benchmark methods are introduced and used for comparison on the Vissim/Autonomie co-simulation platform. The results showed that,energy consumption of the proposed method can be reduced by 14.32%, 9.74%, and 73.72%, respectively in comparison with three benchmark methods.