车辆通过交叉口的生态驾驶轨迹优化研究

Optimization of Eco-driving Trajectories at Intersections for Energy Saving and Emission Reduction

车辆在道路交叉口经常出现启停和怠速现象,交叉口成为了道路交通网络中高能耗高排放的重要区域。因此需要对车辆通过交叉口的生态驾驶轨迹进行优化研究。首先将当前信号状态分为六种情景,利用数学模型对不同情景下车辆通过交叉口的驾驶轨迹进行定量表达;然后将交叉口上游和下游整体考虑,针对各情景建立了生态驾驶策略模型和生态驾驶轨迹优化算法;最后假定情景并设定参数,利用MATLAB开发程序,结合基于机动车比功率参数的排放量化模型,对各驾驶轨迹的排放进行仿真模拟。模拟结果表明:构建的生态驾驶轨迹优化算法,可使车辆CO2、NOx、CO、HC 4种排放物分别降低30.1%、23.6%、24.9%、21.5%,可为面向生态的驾驶辅助系统开发提供应用算法。

Due to the frequent stop-and-go and idling behaviors of vehicles at road intersections,intersections have become important areas that experience high energy consumption and emissions in road traffic net- works. Therefore we need to study the optimization of eco-driving trajectories crossing the intersections. In this context, this research first divides the signal timings into six different conditions, and then describes the driving trajectories of vehicles crossing the intersections in different conditions through mathematical models. Subsequently,this research designs the eco-driving strategies models and the optimized algorithms of eco-driving trajectories from both the upstream and downstream of the intersections under each condi- tion. Finally,by establishing a scenario with given parameters,the research simulates the emissions of vari- ous driving trajectories using the emission model based on the vehicle specific power and the program de- veloped on MATLAB. The simulation results show that the proposed optimized algorithms of eco-driving trajectories are able to reduce CO2 ,NOx ,CO and HC by 30.1% ,23.6% ,24.9% and 21.5%. This research provides applicational algorithms for developing the eco-driving assistant system.