A key challenge in automating vehicle driving maneuvers is to address uncertainty, mainly related to the interactions between the ego vehicle and all the surrounding traffic as well as the road infrastructure. In the case of an overtaking maneuver, the neighboring vehicles include the vehicle(s) moving in front of the ego vehicle - in particular, the vehicle(s) to be overtaken - and possibly other vehicles moving in the adjacent lane. In that case, the underlying research question is: how a driving automation system of an ego vehicle shall deal with occurring uncertainties to safely perform overtaking maneuvers, knowing that each of its neighboring vehicles is managerially and operationally independent, their disposition has been evolutionarily formed, and by their interactions, they jointly raise emergent behaviors. In fact, together, these vehicles compose a System-of-Systems (SoS). Recently, a novel formal language, called Fuzzy SosADL, has been specially conceived for modeling opportunistic SoS, while mastering uncertainty and interactions under uncertainty. This paper presents a case study of Fuzzy SosADL, in terms of Fuzzy Mediating Control Systems for safely supporting vehicle overtaking maneuvers in two-way roads, one of the hardest applications of driving automation systems.