In this talk, we will introduce a class of micro-macro models that will be used to model the behavior of traffic in the presence of autonomous vehicles. We will describe different situations in which multi-scale modeling simplify the estimation strategy. We consider a partial differential equation - ordinary differential equation system to describe the dynamics of traffic flow with autonomous vehicles. In the model the bulk flow is represented by a scalar conservation law, while each autonomous vehicle is described by a car following model. First, we will show a model where the autonomous vehicle influence the rest of the traffic by modifying its speed. Then, the autonomous vehicles act as tracer vehicles in the flow and collect measurements along their trajectory to estimate the bulk flow. The main result is to prove theoretically and show numerically how to reconstruct the correct traffic density using only the measurements from the autonomous vehicles.