Utility-based Vehicle Routing Integrating User Preferences

To fulfill Mark Weiser's vision that “the most profound technologies are those that disappear”, pervasive computing systems inherently have (i) to interact with the environment and the users but also (ii) to adapt their behavior to changes in their environment. Due to the dynamic, non-deterministic environment of pervasive computing systems, uncertainty arises. In this paper, we conduct a case study in the domain of driver assistance systems and show that uncertainty in proactive adaptations, i.e., adaptations in advance, increases with an extension of the planning horizon.