Generating network-based moving objects

Abstract

Benchmarking spatiotemporal database systems requires the generation of suitable datasets simulating the typical behavior of moving objects. Previous approaches do not consider that in many applications the moving objects follow a given network. In this paper, the most important properties of network-based moving objects are presented. These properties are the basis for specifying and developing a new generator for spatiotemporal data. This generator combines a real network with user-defined properties of the resulting dataset. A framework for using and promoting the generator exists.