Taal, Fieke C.Bidarra, RafaelVincent Tourre and Filip Biljecki2016-12-072016-12-072016978-3-03868-013-02307-8251https://doi.org/10.2312/udmv.20161415https://diglib.eg.org:443/handle/10.2312/udmv20161415Procedurally-generated virtual urban worlds typically miss plausible signaling objects on the road network, unless they were manually inserted. We present a solution to the problem of procedurally populating a given urban road network with plausible traffic signs. Our tagged graph approach analyzes the road network using a rule-based reasoning mechanism that represents relevant traffic rules, in order to identify potential sign locations. Eventually, a context-based reduction step helps choose the most suitable candidates, taking into account a variety of real-world rules, and determines their actual place and orientation. We discuss the performance and validation of our approach, and conclude that its generality and flexibility make it a very convenient extension to many procedural urban environment applications.[Computing methodologies]Computer graphicsShape modeling [Computing methodologies]Artificial intelligenceKnowledge representation and reasoning10.2312/udmv.2016141517-23