The objective is to study the impact the deployment of autonomous vehicles may have on freight and logistics from an economic point of view. We focus on interurban transport operations made by road and propose quantitative estimations of the outcomes of two scenarios where the automation technology is sufficiently efficient to remove the need of a driver during the whole or a significant part of the operations. To do so, we build a modeling chain which links consist of a series of theoretical microeconomical models and econometrical estimations. This chain is used on the one hand to describe theoretically and empirically carriers and shippers behaviors and on the other to target precisely where and how AVs intervene in order to obtain accurate estimations of the two scenarios outcomes. The results show that partial automation won't have a significant impact whether in terms of switching from a heavy to a light shipping mode and vice versa, nor on the shipments' sizes, or even on the carriers Total Logistical Costs. By contrast, full automation would have a much more significant impact : an increase of Full Truckload operations share; and a significant decrease of shipment sizes, transport costs and Total Logistical Costs.