交通信息与安全2025，Vol.43Issue(6)：76-85,10.DOI:10.3963/j.jssn.1674-4861.2025.06.008
网联环境下混合交通流稳定性分析
A Stability Analysis of Mixed Traffic Flow in Connected Environment
摘要
Abstract
This study investigates how intelligent connected vehicles(ICVs)affect the stability of mixed traffic flow consisting of ICVs and human-driven vehicles(HDVs).In mixed traffic,HDVs,degraded ICVs,and ICVs are mod-eled using an optimal velocity model,an adaptive cruise control(ACC)model,and a cooperative adaptive cruise control(CACC)model,respectively.Based on these car-following models,traffic stability is numerically compared using transfer-function infinity norm,with explicit consideration of whether HDVs have connectivity.In addition,the predecessor-acceleration gain in the CACC model is further examined through a systematic frequency-domain sensitivity analysis.Subsequently,microscopic traffic simulations are conducted under different ICV market penetra-tion rates.Results show that,when HDVs have connectivity,a larger predecessor-acceleration gain in CACC model significantly improves overall stability.When the predecessor-acceleration gain increases from 0 to 1,the critical ICV penetration rate for stability decreases from 62%to 33%at any speed.In contrast,when HDVs lack connectivi-ty,the critical penetration rate only decreases from 62%to 54%,indicating a limited stability improvement.These findings demonstrate that connectivity of HDVs is a key factor that amplifies the stability benefits of cooperative control in mixed traffic flow.关键词
智能网联车辆/混合交通/交通流稳定性/数值分析/跟驰模型Key words
intelligent and connected vehicle/mixed traffic/traffic flow stability/numerical analysis/car-following model分类
交通工程引用本文复制引用
李帅,王嘉伟,许庆,王建强,李克强..网联环境下混合交通流稳定性分析[J].交通信息与安全,2025,43(6):76-85,10.基金项目
国家自然科学基金项目(52221005)资助 （52221005）
