MasterMobilityDB: A Storage and Processing Layer for Multiple Aspect Trajectory Data at Scale
DOI:
https://doi.org/10.5753/jidm.2026.5890Keywords:
Moving Object Databases, Trajectory, Multiple Aspect, Spatio-temporalAbstract
Spatiotemporal data capturing the movement of real-world entities, gathered from sensors and GPS devices, along with its integration with other contextual georeferenced data, has led to the generation of large and complex trajectory datasets. These datasets, referred to as multiple aspect trajectories (MATs), present new challenges for moving object databases. This work introduces MasterMobilityDB, a persistence layer for MATs based on the Master representation model, built on top of the MobilityDB database through a dedicated API. A comparison with the state-of-the-art SecondoDB shows that MasterMobilityDB enables more natural query expressions and delivers better performance for MATs. This is a pioneer solution to deal with MAT persistence and management.
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