Oscillation Growth in Mixed Traffic of Human-Driven and Automated Vehicles in Both Experimental Study and Simulation

作者：Shiteng Zheng, Rui Jiang, Michael Zhang, Junfang Tian, Ruidong Yan, Bin Jia, Ziyou Gao · 发表于：Transportation Science · 年份：2025 · DOI：10.1287/trsc.2023.0377 · 被引用次数：10 · 研究领域：Traffic control and management、Autonomous Vehicle Technology and Safety、Transportation Planning and Optimization

This paper aims to study how automated vehicles (AVs) impact traffic oscillation growth in a mixed platoon of human-driven vehicles (HVs) and AVs. To this end, we perform an experimental investigation complemented by extended simulation studies. In the experiment, the leading vehicle moves with a constant speed as a moving bottleneck, whereas the following vehicles consist of six programmable AVs implementing a constant-time-gap car-following policy, uniformly distributed among various numbers of HVs. Thus, the market penetration rate (MPR) of AVs decreases as the platoon size increases. The experimental results indicate that at high MPRs, AVs effectively suppress the growth of oscillations. However, the dampening effect diminishes abruptly and almost vanishes as the MPR decreases from 67% to 50%. In contrast, traffic throughput exhibits an approximately linear relationship with MPR. A simulation study is conducted to reproduce these findings. A good agreement with the experimental results validates the simulation study. The simulation study is then extended to a broader range of scenarios, yielding several insights: (i) the position of AVs within mixed platoons has subtle effects on the overall flow rate but significantly impacts oscillation growth, (ii) fine-tuning upper-level control parameters can potentially reduce oscillations while also enhancing throughput, and (iii) the synergy between automated driving and vehicle-to-vehicle communication has the potential to furthe...