融入智能网联汽车的混行交通流混沌特性  

Chaotic characteristics of mixed traffic flow integrated with intelligent connected vehicle

作　　者：梁军[1] 杨航 任彬彬 陈小波 陈龙[1] 杨相峰 LIANG Jun;YANG Hang;REN Binbin;CHEN Xiaobo;CHEN Long;YANG Xiangfeng(Automotive Engineering Research Institute,Jiangsu University,Zhenjiang,Jiangsu 212013,China;School of Computer Science and Technology,Shandong Technology and Business University,Yantai,Shandong 264005,China;Taizhou Yihualu Data Lake Information Technology Co.,Ltd.,Taizhou,Jiangsu 225500,China)

机构地区：[1]江苏大学汽车工程研究院,江苏镇江212013 [2]山东工商学院计算机科学与技术学院,山东烟台264005 [3]泰州易华录数据湖信息技术有限公司,江苏泰州225500

出　　处：《江苏大学学报（自然科学版）》2024年第4期373-380,共8页Journal of Jiangsu University：Natural Science Edition

基　　金：国家自然科学基金资助项目(61773184);国家重点研发计划项目(2018YFB1600503);江苏省“六大人才高峰”高层次人才计划项目(2015-DZXX-048)。

摘　　要：为了研究混行交通流混沌特性、辨析影响混行车队混沌程度的因素,在传统交通流理论基础上,利用Cao方法和改进的Cao方法确定混行交通流延迟时间和嵌入维数,对混行交通流序列进行相空间重构并通过计算最大Lyapunov指数判定其混沌特性.对混行交通流中智能网联汽车(intelligent connected vehicle,ICV)协同自适应巡航(cooperative adaptive cruise control,CACC)车辆比例及延迟时间关键参数进行影响分析.结果表明:在跟驰过程中车头间距序列的最大Lyapunov指数小于0时,混行交通流存在混沌;CACC车辆比例增加能够减弱混沌的时间区域,比如当CACC车辆比例达到0.6时,跟驰系统趋于稳定;CACC车辆的延迟时间对混沌的影响显著,保持低通信延迟才能发挥CACC车辆的作用,从而有效抑制混沌.To investigate the chaotic characteristics of mixed traffic flow and discern the factors influencing the degree of chaos in mixed traffic platoons,the Cao method and the improved Cao method were employed based on the traditional traffic flow theory to determine the delay time and embedding dimension of the mixed traffic flow.The phase space of mixed traffic flow sequences was reconstructed to determine the chaotic characteristics by calculating the maximum Lyapunov exponent.The influential parameters of the proportion of intelligent connected vehicle(ICV)using cooperative adaptive cruise control(CACC)and the delay time in mixed traffic flow were analyzed.The results show that when the maximum Lyapunov exponent of the headway sequence during the car-following process is less than zero,chaos exists in the mixed traffic flow.Increasing the proportion of CACC vehicles can mitigate chaos in certain time intervals.The car-following system tends to be stable when the proportion of CACC vehicles reaches 0.6.The delay time of CACC vehicles significantly affects chaos,and maintaining low communication delays is essential for CACC vehicles to effectively suppress chaos.

关 键 词：智能网联汽车 混行交通流 混沌特性 相空间重构 李雅普诺夫指数 

分 类 号：U491[交通运输工程—交通运输规划与管理]