考 虑 智 能 网 联 车 队 要 素 的 交 通 震 荡 特 性 研 究

Addressing the traffic oscillation issues triggered by the integration of Connected and Automated Vehicles (CAV) into traffic flows, this study focuses on heterogeneous traffic flows with varying CAV market penetration rates. It introduces CAV platoon size and intensity to classify heterogeneous fleet compositions and simulate traffic oscillation phenomena. Space-time trajectory maps and visualizations of acceleration/deceleration wave propagation velocity are employed to illustrate the evolution of traffic oscillation. Additionally, the study measures traffic oscillation periods using acceleration and deceleration durations, and quantifies oscillation amplitudes using the standard deviation of speeds. Through interactive experiments considering CAV platoon size, intensity, penetration rate, and lead vehicle speed change modes, the study aims to explore the impact of CAV platoon characteristics and lead vehicle speed change modes on traffic oscillations. The results indicate that increasing CAV platoon size, intensity, and penetration rate can positively influence the reduction of oscillation cycles. Oscillation amplitudes tend to increase with platoon size and decrease with platoon intensity. Furthermore, oscillation amplitudes initially increase and then decrease with CAV penetration rate, peaking at a penetration rate of 0.5~0.6. The period and amplitude of traffic oscillations are found to be smallest in the headway fast deceleration-fast acceleration mode and largest in the headway slow deceleration-slow acceleration mode.