Moving objects databases are an important research topic in recent years. A lot of work dealt with modeling, querying and indexing objects that move freely or in networks. However, a moving object-such as a vehicle-could report some measures related to its state or to its environment, which are sensed throughout his movement. Managing such data is of major interest for some applications such as analyzing driving behavior or reconstructing the circumstances of an accident in road safety, or

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... ifying, by means of a vibration sensor, the defects along a railway in maintenance. However, this management is not covered by the existing approaches. In this paper, we propose a new data model and a language to handle mobile location sensor data. To this end, we introduce the concept of spatial profile of a measure to capture the measure variability in space, along with specific operations that permit to analyze the data. We also describe their implementation using object-relational paradigm.