Wang Huinian, Guo Junbin, Wang Jingyao, Guo Jinghua
Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China.
Department of Missile Engineering, Rocket Force University of Engineering, Xi'an 710025, China.
Sensors (Basel). 2024 Sep 30;24(19):6356. doi: 10.3390/s24196356.
To encourage energy saving and emission reduction and improve traffic efficiency in the multiple signalized intersections area, an eco-driving strategy for connected and automated vehicles (CAVs) considering the effects of traffic flow is proposed for the mixed traffic environment. Firstly, the formation and dissipation process of signalized intersection queues are analyzed based on traffic wave theory, and a traffic flow situation estimation model is constructed, which can estimate intersection queue length and rear obstructed fleet length. Secondly, a feasible speed set calculation method for multiple signalized intersections is proposed to enable vehicles to pass through intersections without stopping and obstructing the following vehicles, adopting a trigonometric profile to generate smooth speed trajectory to ensure good riding comfort, and the speed trajectory is optimized with comprehensive consideration of fuel consumption, emissions, and traffic efficiency costs. Finally, the effectiveness of the strategy is verified. The results show that traffic performance and fuel consumption benefits increase as the penetration rate of CAVs increases. When all vehicles on the road are CAVs, the proposed strategy can increase the average speed by 9.5%, reduce the number of stops by 78.2%, reduce the stopped delay by 82.0%, and reduce the fuel consumption, NO, and HC emissions by 20.4%, 39.4%, and 46.6%, respectively.
为鼓励节能减排并提高多信号交叉口区域的交通效率，针对混合交通环境，提出了一种考虑交通流影响的车路协同自动驾驶车辆（CAV）生态驾驶策略。首先，基于交通波理论分析了信号交叉口队列的形成与消散过程，构建了交通流状况估计模型，该模型可估计交叉口队列长度和后方受阻车队长度。其次，提出了一种适用于多个信号交叉口的可行速度集计算方法，使车辆能够不停驶通过交叉口且不阻碍后续车辆，采用三角函数曲线生成平滑速度轨迹以确保良好的驾乘舒适性，并综合考虑油耗、排放和交通效率成本对速度轨迹进行优化。最后，验证了该策略的有效性。结果表明，随着CAV渗透率的提高，交通性能和燃油消耗效益增加。当道路上所有车辆均为CAV时，所提策略可使平均车速提高9.5%，停车次数减少78.2%，停车延误减少82.0%，燃油消耗、氮氧化物和碳氢化合物排放分别减少20.4%、39.4%和46.6%。
