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考虑交叉口启停波的智能网联车混行生态驾驶策略

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为了避免车辆在交叉口频繁停车启动的现象,减少车辆的燃油消耗与污染排放,该文提出了考虑交叉口启停波的智能网联车混行生态驾驶策略.对交叉口启停波影响范围进行分析,划分车辆通过交叉口的通行方式;通过混合交通流基本图模型计算饱和速度,根据饱和速度创建并选择车辆通过时间点,结合交叉口启停波计算智能网联车轨迹优化终点时刻和位置;根据三段式速度规划曲线模型优化智能网联车行驶轨迹,并将驾驶策略与自由驾驶在不同交通流量与渗透率条件下进行对比仿真实验.结果表明:随着渗透率的增大,采用生态驾驶策略车辆所产生的平均燃油消耗、污染物排放与延误时间逐渐降低;在相同渗透率条件下,低交通流量的油耗增益幅度始终大于高交通流量的油耗增益幅度.在600 pcu/h交通流量与100%渗透率的情况下,采用生态驾驶策略车辆油耗减少15.57%,延误减少23.57%.
Eco-driving strategy for mixed traffic flow of connected automated vehicles considering intersection start-stop wave
An ecological driving strategy for connected automated vehicles based on intersection start-stop wave analysis was proposed to avoid frequent stop-start of vehicles at intersections and reduce the fuel consumption and pollution emission of vehicles.Firstly,the intersection start-stop wave influence range was analyzed,and the passage mode of vehicles through the intersection was classified;then,the saturation speed was calculated with the basic graph model of mixed traffic flow,and the vehicle passing time point was created and selected according to the saturation speed,and the end moment and location of the intelligent networked vehicle trajectory optimization were calculated in combination with the intersection start-stop wave;finally,the intelligent networked vehicle trajectory was optimized according to the three-stage speed planning curve model.The results show that the average fuel consumption,pollutant emissions and delays incurred by vehicles with eco-driving strategies gradually decrease with penetration increasing;and the magnitude of fuel consumption gain for low traffic flow is always greater than that for high traffic flow under the same penetration.In the case of 600 pcu/h traffic flow and 100%penetration,the eco-driving strategy reduces fuel consumption by 15.57%and delays by 23.57%.

traffic engineeringmixed trafficeco-drivingintersection start-stop wavetrajectory optimizationenergy saving and emission reduction

李昕光、孙崇效、曲大义、于文昌、胡含

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青岛理工大学 机械与汽车工程学院,青岛 266000,中国

青岛理工大学 土木工程学院,青岛 266000,中国

交通工程 混行交通 生态驾驶 交叉口启停波 轨迹优化 节能减排

2024

汽车安全与节能学报
清华大学

汽车安全与节能学报

CSTPCD北大核心
影响因子:0.748
ISSN:1676-8484
年,卷(期):2024.15(6)