Generation of moving object trajectories in indoor space

Abstract

For the studies on moving object databases, we need moving object trajectory data sets. For example, a benchmark data set of moving object trajectories is required for experiments on query processing of moving object databases. For these reasons, several tools have been developed for generating moving objects in Euclidean spaces or road network spaces. Indoor space differs from outdoor spaces in many aspects and moving object generator for indoor space should reflect these differences. In this paper, we present a moving object generation tool for indoor space. First, this tool generates trajectories for pedestrians in an indoor space. And it provides a parametric generation of trajectories considering not only speed, number of pedestrians, minimum distance between pedestrians but also type of spaces, time constraints, and type of pedestrians. We try to reflect the patterns of pedestrians in indoor space as realistic as possible. For the reason of inter-operability, several geospatial standards are used in the development of the tool.