  This paper presents scalable traffic stability analysis for both pure
autonomous vehicle (AV) traffic and mixed traffic based on continuum traffic
flow models. Human vehicles are modeled by a non-equilibrium traffic flow
model, i.e., Aw-Rascle-Zhang (ARZ), which is unstable. AVs are modeled by the
mean field game which assumes AVs are rational agents with anticipation
capacities. It is shown from linear stability analysis and numerical
experiments that AVs help stabilize the traffic. Further, we quantify the
impact of AV's penetration rate and controller design on the traffic stability.
The results may provide insights for AV manufacturers and city planners.
