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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: http://www.fh-oldenburg.de/iapg/personen/brinkhof/generator.html