融入智能网联汽车的混行交通流混沌特性

梁军1; 杨航1; 任彬彬1; 陈小波2; 陈龙1; 杨相峰3

doi:10.3969/j.issn.1671-7775.2024.04.001

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江苏大学学报（自然科学版） ›› 2024, Vol. 45 ›› Issue (4) : 373-380. DOI: 10.3969/j.issn.1671-7775.2024.04.001

车辆工程

融入智能网联汽车的混行交通流混沌特性

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Chaotic characteristics of mixed traffic flow integrated with intelligent connected vehicle

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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.

Abstract

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.

导出引用

梁军1, 杨航1, 任彬彬1, 等. 融入智能网联汽车的混行交通流混沌特性[J]. 江苏大学学报（自然科学版）, 2024, 45(4): 373-380 https://doi.org/10.3969/j.issn.1671-7775.2024.04.001

LIANG Jun1, YANG Hang1, REN Binbin1, et al. Chaotic characteristics of mixed traffic flow integrated with intelligent connected vehicle[J]. Journal of Jiangsu University(Natural Science Edition), 2024, 45(4): 373-380 https://doi.org/10.3969/j.issn.1671-7775.2024.04.001

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