  In this paper we present an algorithm to build a road network map enriched
with traffic rules such as one-way streets and forbidden turns, based on the
interpretation of already detected and classified traffic signs. Such algorithm
helps to automatize the elaboration of maps for commercial navigation systems.
Our solution is based on simulating navigation along the road network,
determining at each point of interest the visibility of the signs and their
effect on the roads. We test our approach in a small urban network and discuss
various ways to generalize it to support more complex environments.
