Even for a human driver, urban intersections represent probably the most difficult scenarios, in which the driver could be overloaded by understanding the traffic rules, predicting the intention of other objects, etc. The complexity of these scenarios makes the task of automated driving at intersections a very difficult challenge. Thus, we propose an approach that aims to reduce the complexity of the scenario interpretation by breaking down the problem into a set of primary situations linked over time. Based on the combination of four primary situations, the scenario interpretation should enable the corresponding planning that guides the ego vehicle along a driving corridor.