期刊
TRANSACTIONS IN GIS
卷 23, 期 4, 页码 805-822出版社
WILEY
DOI: 10.1111/tgis.12526
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资金
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior
- Fundacao de Amparo a Pesquisa e Inovacao do Estado de Santa Catarina
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
- European Union H2020 Research and Innovation Marie Skodowska-Curie Actions [777695]
For many years trajectory data have been treated as sequences of space-time points or stops and moves. However, with the explosion of the Internet of Things and the flood of big data generated on the Internet, such as weather channels and social network interactions, which can be used to enrich mobility data, trajectories become more and more complex, with multiple and heterogeneous data dimensions. The main challenge is how to integrate all this information with trajectories. In this article we introduce a new concept of trajectory, called multiple aspect trajectory, propose a robust conceptual and logical data model that supports a vast range of applications, and, differently from state-of-the-art methods, we propose a storage solution for efficient multiple aspect trajectory queries. The main strength of our data model is the combination of simplicity and expressive power to represent heterogeneous aspects, ranging from simple labels to complex objects. We evaluate the proposed model in a tourism scenario and compare its query performance against the state-of-the-art spatio-temporal database SECONDO extension for symbolic trajectories.
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