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作 者:龚勇[1] 张海民 Gong Yong;Zhang Haimin(Department of Information Engineering,Xuancheng Vocational and Technical College Xuancheng 242000,China;School of Computer and Software Engineering,Anhui Institute of Information Technology,Wuhu 241000,China)
机构地区:[1]宣城职业技术学院信息工程系,安徽宣城242000 [2]安徽信息工程学院计算机与软件工程学院,安徽芜湖241000
出 处:《黑河学院学报》2022年第9期185-188,共4页Journal of Heihe University
基 金:2019年安徽省教育厅高校自然科学重点研究项目“面向智慧社区的视频监控异常行为识别方法的研究”(KJ2019A1295);安徽省教育厅2020年高校优秀青年人才支持计划项目(gxyq2020107)。
摘 要:为提高车流控制过程中的安全性及稳定性,提出一种基于滚动优化策略的车路协同智能车流控制方法。首先对车路协同条件下车流特性进行分析,针对分析结果,分别从车流控制过程中的稀疏纵向间距阶段和换道阶段进行控制,并根据控制过程中采集到的最佳数据结果,对控制模型进行滚动优化,并通过仿真实验对所提方法进行测试,实验结果表明,在对同向双车道进行车流控制过程中,所提方法控制车辆加速度变化幅度基本稳定在3m/s2,车间距基本保持在30m左右,且在变道开始和结束前保持稳定,方向盘扭转角度不超过40°,具有较高的平缓性及安全性,表明该研究具有价值。In order to improve the safety and stability in the process of vehicle fl ow control,this paper proposes an intelligent vehicle fl ow control method via vehicle and road collaboration based on rolling optimization strategy.By analyzing the characteristics of vehicle fl ow under the condition of vehicle road coordination,the proposed method is tested by simulation experiments by controlling the vehicle fl ow respectively from the sparse longitudinal spacing stage and lane changing stage in the process of control vehicle fl ow.According to the best data results collected in the control process,the rolling optimization of the control model is carried out to realize the continuous updating of the control performance.The experimental results show that,in the process of vehicle fl ow control for two lanes in the same direction,the acceleration change amplitude of the proposed method is basically stable at 3m/s2,the vehicle spacing is basically maintained at about 30m,and it remains stable at the beginning and end of lane change,and the steering wheel torsion angle is not more than 40°with high smoothness and safety,which indicates that the research has certain research value.
分 类 号:U491[交通运输工程—交通运输规划与管理]
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