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作 者:马宽 邓超 刘港[1] 李艳淇 MA Kuan;DENG Chao;LIU Gang;LI Yanqi(School of Automotive and Traffic Engineering,Wuhan University of Science and Technology,Wuhan 430065,China;Institute of Intelligent Vehicle Engineering,Wuhan University of Science and Technology,Wuhan 430065,China)
机构地区:[1]武汉科技大学汽车与交通工程学院,武汉430065 [2]武汉科技大学智能汽车工程研究院,武汉430065
出 处:《武汉理工大学学报(交通科学与工程版)》2023年第4期611-614,共4页Journal of Wuhan University of Technology(Transportation Science & Engineering)
基 金:国家自然科学基金青年科学基金(52002298);湖北省自然科学基金计划青年项目(2020CFB118);湖北省教育厅科学技术研究计划青年人才项目(Q20201107);教育部产学合作协同育人项目(202102580026)。
摘 要:城市快速路上小型车辆的换道行为极易引发交通事故,且会造成交通延误,不同驾驶风格的驾驶员换道偏好也存在着差异.通过筛选航拍车辆轨迹数据库中车辆的换道数据,将驾驶风格进行分类,得到了不同风格驾驶员的换道时间均值,分别用三次多项式和七次多项式拟合了不同驾驶风格的驾驶员的换道轨迹,并用Simulink和Carsim进行联合仿真,基于模型预测控制器在不同车速条件下验证了不同风格驾驶员换道轨迹,跟踪效果较好,且横向载荷率都小于0.15.The lane-changing behavior of small vehicles on urban expressways can easily lead to traffic accidents and traffic delays,and drivers with different driving styles have different lane-changing preferences.By screening the lane change data of vehicles in the aerial vehicle trajectory database,the driving styles were classified,and the average lane change time of drivers with different styles was obtained.The lane-changing trajectories of drivers with different driving styles were fitted by cubic polynomial and seventh polynomial respectively,and the joint simulation was carried out by Simulink and Carsim.The model-based predictive controller verifies the lane-changing trajectories of drivers with different styles under different vehicle speeds.The tracking effect is good,and the lateral load rate is less than 0.15.
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