MASTERMobilityDB: A Persistence and Manipulation Layer for Trajectories of Multiple Aspects

Spatiotemporal data about the movement of real-world entities collected from sensors and GPS devices, as well as their integration with other contextual georeferenced data, has produced voluminous and complex collections of trajectory data. These collections, known as multiple aspect trajectories (MATs), raise new challenges for moving object databases. This work introduces MASTERMobilityDB, a MAT persistence layer based on the MASTER representation model for MATs, built on top of MobilityDB database through the development of an API. A comparison with the state-of-the-art SecondoDB demonstrates that queries over MATs are expressed in MASTERMobilityDB more naturally and perform better. No similar proposal was found in the literature and industry.

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Published
2024-10-14
DOI
https://doi.org/10.5753/sbbd.2024.240245
Primary Topic
Data Management and Algorithms
Type
article
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article

MASTERMobilityDB: A Persistence and Manipulation Layer for Trajectories of Multiple Aspects

Ronaldo dos Santos Mello, F. Feller
Data Management and Algorithms
article

MASTERMobilityDB: A Persistence and Manipulation Layer for Trajectories of Multiple Aspects

Ronaldo dos Santos Mello, F. Feller
article en

Abstract

Spatiotemporal data about the movement of real-world entities collected from sensors and GPS devices, as well as their integration with other contextual georeferenced data, has produced voluminous and complex collections of trajectory data. These collections, known as multiple aspect trajectories (MATs), raise new challenges for moving object databases. This work introduces MASTERMobilityDB, a MAT persistence layer based on the MASTER representation model for MATs, built on top of MobilityDB database through the development of an API. A comparison with the state-of-the-art SecondoDB demonstrates that queries over MATs are expressed in MASTERMobilityDB more naturally and perform better. No similar proposal was found in the literature and industry.

Universidade Federal de Santa Catarina (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 79%
Data Management and Algorithms
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