We investigate the problem and provide a data model storing, indexing, and retrieving future locations of moving objects in an efficient manner. Each moving object has four independent variables which allow us to predict its future location: a starting location, a destination, a starting time, and an initial velocity. To understand the underlying complexity of the problem, we investigate and categorize the configurations where two variables can vary. Based on that understanding, we choose a configuration which is to some extent restrictive, but still can be used in a wide variety of realistic settings. A performance study shows that our model has much less overhead in processing range queries compared to other proposed approaches.