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网联自动驾驶车辆下匝道换道决策模型

Lane-changing decision model of connected and automated vehicles driving off ramp
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摘要 为宏观刻画自动驾驶专用车道上的网联自动驾驶车辆(CAV)下匝道的行为,提出了混合交通流下基于安全风险的CAV下匝道换道决策模型;该模型将换道间隙选择过程抽象为成功换道或不成功换道的伯努利试验,并在此基础上建立了基于交通流理论的车辆换道成功率计算方法;提出了耦合换道安全与效率的下匝道换道决策成本函数,其中安全与效率的权重参数根据不同的驾驶模式确定,从而确定CAV最优的换道意图生成点,为CAV换道提供指令。数值分析结果表明:CAV下匝道成功率由换道准备距离、交通需求和CAV渗透率共同决定,成本函数随着CAV渗透率的变化出现明显的拐点;交通量为2400 veh·h^(-1)时,CAV的最佳换道意图生成点为距离下匝道入口1 km处;当交通量增加至4000 veh·h^(-1)时,最佳换道意图生成点为距离下匝道入口2.5 km处;当交通量大于6400 veh·h^(-1)时,需要提高CAV的侵略性才能高效驶出高速公路;成本函数随着CAV渗透率的增大先下降再升高,若渗透率低于拐点渗透率,则增加换道准备距离可以降低成本函数,若渗透率高于拐点渗透率,则需通过减小换道准备距离降低成本函数。仿真结果表明:交通需求和渗透率对车辆下匝道的安全性影响显著,渗透率由30%提升至60%,碰撞时间最大降幅为76.23%。 ed the lane-changing gap selection process into Bernoulli experiments of successful or unsuccessful lane-changing,and a lane-changing success rate formula was set up based on the traffic flow theory.A driving off ramp lane-changing decision cost function considering lane-changing safety and efficiency was proposed,in which the weight parameters of safety and efficiency were determined based on different driving modes,so as to determined the optimal lane-changing intention generation point for CAVs and provided instructions for CAV lane-changing.Numerical analysis results show that the success rate of CAV driving off the ramp is determined by the preparation distance of lane-changing,traffic demand,and CAV penetration rate.The cost function has an obvious inflection point with the change of CAV penetration rate.When the traffic volume is 2400 veh·h^(-1),the optimal lane-changing intention generation point for CAVs is 1 km away from the entrance of the off-ramp.When the traffic volume increases to 4000 veh·h^(-1),the optimal lane-changing intention generation point is 2.5 km away from the entrance of the off-ramp.When the traffic volume is greater than 6400 veh·h^(-1),the CAV needs to increase aggressiveness to drive off the highway efficiently.The cost function first decreases and then increases as the CAV penetration rate increases.If the penetration rate is lower than the inflection point penetration rate,the cost function can be reduced by increasing the preparation distance of lane-changing.If the penetration rate is higher than the inflection point penetration rate,reducing the preparation distance of lane-changing is necessary to reduce the cost function.Simulated results show that the traffic safety of driving off the ramp significantly influenced by the traffic demand and CAV penetration rate.The time-to-collision reduces to 76.23%,with the penetration rate increasing from 30%to 60%.2 tabs,8 figs,31 refs.
作者 郝威 张兆磊 吴其育 易可夫 HAO Wei;ZHANG Zhao-lei;WU Qi-yu;YI Ke-fu(Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems,Changsha University of Science and Technology,Changsha 410114,Hunan,China)
出处 《交通运输工程学报》 EI CSCD 北大核心 2023年第5期242-252,共11页 Journal of Traffic and Transportation Engineering
基金 国家重点研发计划(2022YFC3803700) 国家自然科学基金项目(52172339,52002036) 湖南省科技创新计划项目(2023RC1059,2023SK2052,2022WZ1011) 湖南省自然科学基金项目(2021JJ40577) 湖南省研究生科研创新项目(CX20220852) 长沙市科技计划项目(kh2202002,kh2301004) 湖南省教育厅科学研究项目(20B009)。
关键词 网联自动驾驶车辆 换道决策模型 成本函数 混合交通流 数值仿真 CAV渗透率 CAV lane-changing decision model cost function mixed traffic flow numerical simulation CAV penetration rate
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