Route directions have been the subject of extensive research in various areas, including cognitive science, psychology, artificial intelligence and natural language generation. Our primary perspective is that of natural language generation. Thus our aim is to investigate in how far natural language generation technology can improve the efficiency of automatically generated route descriptions. The current technological context allows for information delivery in the physical context of usage via mobile devices. This is particularly relevant for instructional discourse, such as route descriptions.